Once closed, the acquisition will strengthen 麻豆原创 Business Data Cloud (麻豆原创 BDC)鈥攊ntegral for 麻豆原创’s AI-First and Suite-First strategy鈥攁nd accelerate the evolution of 麻豆原创 BDC to a fully interoperable enterprise data platform for enterprise-wide agentic AI. It will provide customers with the tools they need to unify, cleanse and harmonize data across sources for superior enterprise-wide agentic AI.

“Reltio is a natural fit with 麻豆原创,鈥� said Muhammad Alam, member of the Executive Board of 麻豆原创 SE, 麻豆原创 Product & Engineering. 鈥淎cquiring them will further improve our position as a leading business AI provider, combining 麻豆原创 and non-麻豆原创 data to deliver data context that business AI requires. AI cannot reach its full potential when data is fragmented across business units, platforms and domains without connection or context.鈥�

By integrating Reltio after closing the acquisition, 麻豆原创 will make customers’ enterprise data fully AI-ready. Customers will be able to rely on trusted, high-quality data across 麻豆原创 and non-麻豆原创 sources that Joule and Joule Agents use to deliver faster time-to-value for business AI.

Reltio鈥檚 platform helps organizations manage and govern structured and unstructured enterprise data from start to finish. Its AI-based entity resolution identifies and merges related records from different formats and applications into one reliable 鈥済olden record鈥� system of context. Its cloud-native, AI-first design supports a single, consistent view of customers, products, suppliers, locations and employees across both 麻豆原创 and non-麻豆原创 applications. Customers running AI tasks will benefit from increased reliability and consistency of data, bundled in a single source of truth, improving business AI. With that, customers can trust that AI results are correct, and AI-interactions are resolved fast.

鈥淛oining forces with 麻豆原创 presents a tremendous opportunity for us to accelerate our mission,鈥� Reltio Founder and CEO Manish Sood said. 鈥淓nterprise AI needs trusted context that is open and interoperable across the heterogeneous IT landscapes our customers run. This combination accelerates our ability to deliver Reltio as the system of context across 麻豆原创 and non-麻豆原创 environments, while maintaining continuity for our customers and our partner ecosystem.鈥�

Reltio’s data cleansing, unification capabilities and agent-driven workflows will work alongside 麻豆原创 Business Suite applications to improve decisions, reduce integration complexity and deliver trusted, consistent data critical for successful business processes and AI use cases. Low latency delivery and support for the Model Context Protocol (MCP) enable real-time, multiagent workflows across 麻豆原创 and non-麻豆原创 environments, allowing AI agents, such as a procurement agent, to assess supplier risk and trigger actions almost instantly using trusted, real-time data. Reltio offers prebuilt, industry-specific 鈥渧elocity packs鈥� that include data models, rules, matching logic and integrations, and solutions tailored to sectors like life sciences, healthcare and financial services.

By integrating Reltio after closing the acquisition, 麻豆原创 intends to accelerate its customers’ ability to govern and expose master data as trusted and context-rich data products across multiple sources that serve both traditional analytics workloads and AI agents. Reltio will become a core capability within 麻豆原创 BDC, with a flexible commercial model where customers can purchase Reltio as a separate solution or with other 麻豆原创 products. The Reltio portfolio will also remain available as a standalone offering for the foreseeable future.

The transaction is expected to close in Q2 or Q3 of 2026, subject to customary closing conditions, including regulatory approvals.

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About Reltio

Reltio is a leader in data unification and management, delivering cloud-native, AI-native master data management (MDM) to help enterprises create trusted data and unlock context intelligence for analytics, automation, and agentic AI. Designed for complex, multi-vendor environments, Reltio helps organizations unify, cleanse, harmonize, govern, and activate core data from multiple sources in real time鈥攁cross 麻豆原创 and non-麻豆原创 systems. The Reltio Data Cloud uses advanced entity resolution, continuous data quality, and relationship intelligence within an intelligent data graph to connect data across systems and reveal the full context behind customers, products, suppliers, and other key business entities. This enables organizations to reduce data friction, improve operational execution, and accelerate time to trusted decisions. For more information, visit .

About 麻豆原创

As鈥痑 global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 麻豆原创鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F.
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Together, the companies plan to create the digital backbone for a sovereign, interoperable and AI-supported healthcare system. The solutions will combine the expertise of Fresenius, one of the world鈥檚 largest healthcare companies, with future-oriented 麻豆原创 technologies and meet high requirements for data sovereignty, security and regulatory compliance. The plan is to provide an open, integrated and data鈥慸riven digital health ecosystem that enables hospitals and medical facilities worldwide to use AI securely and to handle health data responsibly.

Digital sovereignty for healthcare

麻豆原创 and Fresenius plan to jointly build an individual, scalable healthcare platform that enables connected, data-driven healthcare processes. Based on this, the companies will develop joint, future-oriented and AI-supported healthcare solutions to sustainably increase quality, transparency and efficiency across the entire care chain and set new standards for digital innovation in the healthcare sector. The foundation will be proven 麻豆原创 technologies and products such as 麻豆原创 Business Suite, 麻豆原创 Business Data Cloud (麻豆原创 BDC), 麻豆原创 Business Technology Platform (麻豆原创 BTP) and 麻豆原创 Business AI. These core elements help create a unified, compliant, open and expandable base for the more-secure exchange and use of data as well as for operating AI models in a controlled environment.

Together, the companies also plan to build a sovereign, European solution for an integrated healthcare ecosystem that supports the integration of modern hospital information systems (HIS) based on 麻豆原创鈥檚 鈥淎nyEMR鈥� strategy. Interfaces based on open industry standards such as HL7 FHIR will enable the more-seamless connection of HIS, electronic medical records (EMRs) and other medical applications.

鈥淲ith 麻豆原创鈥檚 leading technology and Fresenius鈥� deep healthcare expertise, we aim to create a sovereign, interoperable healthcare platform for Fresenius worldwide. Together, we want to set new standards for data sovereignty, security and innovation in healthcare. Thanks to 麻豆原创, Fresenius can harness the full potential of digital and AI-supported processes and sustainably improve patient care,鈥� says Christian Klein, CEO and Member of the Executive Board of 麻豆原创 SE.

鈥淭ogether with 麻豆原创, we can accelerate the digital transformation of the German and European healthcare systems and enable a sovereign European solution that is so important in today鈥檚 global landscape. We are making data and AI everyday companions that are secure, simple and scalable for doctors and hospital teams. This creates more room for what truly matters: caring for patients,鈥� adds Michael Sen, CEO of Fresenius.

As part of the joint transformation project, both companies plan to invest a mid three-digit million euro amount in the medium term to consistently drive the digital transformation of the German and European healthcare system through the use of digital and AI-supported solutions.

The partnership is implemented through various forms of collaboration. These include joint investments in startups and scaleups, joint technological developments and close cooperation within coordinated governance structures between the two companies.

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Media contact:
Dana Roesiger, +49 62277 7 63900, dana.roesiger@sap.com, CET
麻豆原创 麻豆原创 Room; press@sap.com

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ.聽 Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

The partnership will embed artificial intelligence at the core of Syngenta鈥檚 enterprise, modernizing operations and enabling accelerated innovation through advanced data analytics across the business 鈥� from manufacturing and supply chain to grower-facing products and services.

The agricultural industry continues to navigate challenges driven by climate variability, supply chain complexity and global uncertainty. By deploying AI-assisted tools enterprise wide, this partnership positions Syngenta to meet the challenge of feeding a projected 10 billion people by 2050 while unlocking faster innovation, stronger operational resilience and scalable impact across the business.

鈥淎I is the catalyst for agricultural transformation and has quickly become a core competitive edge for Syngenta,鈥� said Feroz Sheikh, chief information and digital officer at Syngenta Group. 鈥淥ur partnership with 麻豆原创 is transforming how we run the enterprise, modernizing core operations and unlocking new ways to work 鈥� a testament to our commitment to becoming an agriculture company with AI at its core.鈥�

鈥淪yngenta鈥檚 transformation sets a benchmark for digital innovation in agriculture,鈥� said Philipp Herzig, chief technology officer at 麻豆原创 SE. 鈥淭ogether, we鈥檙e demonstrating how cloud and AI technologies can drive sustainable growth and efficiency in one of the world鈥檚 most critical industries. This partnership will help Syngenta future-proof its operations to feed the world responsibly.鈥�

Scaling an AI-First Operating Model for Agriculture

Syngenta鈥檚 transformation will begin with鈥槎乖� Cloud ERP Private solutions, modernizing core operations across the value chain to deliver agility, resilience and scalability. The company鈥檚 ambition is clear: unlock innovation faster, strengthen its leadership in agriculture and future-proof operations against volatility.

Through the 麻豆原创 Business Data Cloud solution, Syngenta will create a unified, more secure and scalable data foundation essential for real-time decision-making and AI integration. Combined with 麻豆原创 Business AI and AI-assisted tools such as the Joule copilot, this will help the company explore smarter, faster decisions that drive operational efficiency and accelerate innovation. Additionally, Syngenta will be able to deliver better products and services to growers worldwide while enabling them to retain control and privacy over their proprietary information.

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Syngenta Media Relations, media@syngentagroup.com

Top image courtesy of Syngenta

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

NEW YORK 鈥� (NYSE: 麻豆原创) today announced a new generation of AI-enhanced retail innovations at NRF 2026: Retail鈥檚 Big Show.

麻豆原创 continues to infuse AI into the DNA of every part of its retail solutions, reinforcing its suite-first strategy and helping retailers operate with greater intelligence, resilience and trust while delivering better experiences for customers everywhere.

鈥淩etailers face a landscape where AI is no longer optional,鈥� said Balaji Balasubramanian, President and Chief Product Officer for Customer Experience and Consumer Industries, 麻豆原创 SE. 鈥溌槎乖� provides one closed-loop, AI-enhanced retail operating system that ties planning, execution and engagement together. We put data and AI at the heart of retail, delivering speed, personalization and growth across every channel and segment.鈥�

AI that turns retail data into actionable intelligence

The Retail Intelligence solution in provides accurate demand and inventory planning, leveraging retailers’ data from across 麻豆原创 software and third-party systems to drive profitable growth through actionable, real-time insights. Purpose-built for retailers and direct-to-consumer businesses, it will be generally available in the first half of 2026.

Harmonizing real-time data from sales, inventory, customers and suppliers, Retail Intelligence uses AI-generated simulations so planners can anticipate outcomes and optimize inventory. This improves forecast accuracy, reduces manual planning effort, lowers inventory costs and raises service levels. All this drives more seamless omnichannel engagements, which strengthen customer loyalty and enable growth without adding complexity for retailers.

鈥淩etailers are seeking built-in, embedded AI solutions to help balance daily operations, future planning and agility to manage a dynamic market,鈥� said Ananda Chakravarty, Vice President of IDC Retail Insights. 鈥淲hat sets 麻豆原创 apart is the holistic nature of its approach, offering an agentic operating system that works in the background, connects data and orchestrates agents. 麻豆原创 makes it an easy lift for retailers to achieve enterprise-wide intelligence, avoiding the complexity of many point solutions.鈥�

AI that streamlines modern retail operations

Retailers must make fast, confident decisions across assortments, pricing and planning. To meet that need, 麻豆原创 announced new AI-assisted assortment management capabilities, allowing planners to create, modify or retire assortments using natural language through the Joule copilot. This reduces the bottleneck on expert users, enabling faster responses to market shifts and freeing time for higher-value merchandising decisions.

麻豆原创 also introduced omnichannel sales promotions in sales orders, integrating the 麻豆原创 Omnichannel Promotion Pricing solution with the 麻豆原创 S/4HANA Cloud Public Edition, retail, fashion and vertical business solution. This enables advanced promotions such as bonus buys to be applied consistently across diverse channels, enabling a single source of truth for pricing and promotions in store and online, so retailers can deliver a consistent experience.

In addition, 麻豆原创 is delivering deeper merchandising, segmentation and manufacturing support in the solution, tailored to fashion wholesalers and manufacturers. These enhancements provide the data and process foundation needed for AI-assisted fashion operations across the business.

AI that drives better customer engagement

As shopping journeys increasingly begin with AI assistants rather than storefronts or search engines, retailers need new ways to be present wherever buying decisions are made. 麻豆原创 helps retailers connect products, pricing, inventory and promotions directly to AI-enabled discovery and shopping experiences, unlocking agentic commerce with its new storefront MCP server, part of the 麻豆原创 Commerce Cloud solution.

Retailers can now make their storefronts intelligible to AI, driving shopping experiences not only on their storefronts but also on platforms such as ChatGPT.聽This creates a truly channel-less commerce experience, one where engagement, discovery and transaction happen more seamlessly across human and AI-assisted touch points.

AI that builds customer loyalty

As customer expectations rise and fulfillment networks grow more complex, retailers need confidence that every order will be delivered as promised, using AI solutions that provide proactive visibility and guidance to help keep operations running smoothly and at scale. And as brand visibility shifts in the age of agentic commerce, reliable and consistent shopping experiences are more important than ever to drive sustained customer loyalty and trust.

麻豆原创 announced Order Reliability Agent as part of the 麻豆原创 Order Management Services bundle, planned for release in the second quarter of 2026. The new agent proactively identifies and resolves potential order issues, helping associates answer common questions about order status, stock availability and fulfillment risks before they impact customers.

By combining agentic autonomy with human oversight where judgment matters, these innovations from 麻豆原创 drive insightful planning and improve operational efficiency, both enhancing the customer experience and driving profitable growth.

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Media contact:
Mallory Kuno, +1 (425) 239-9362,聽mallory.kuno@sap.com, ET
麻豆原创 麻豆原创 Room; press@sap.com

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ.聽 Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

These include 麻豆原创 Cloud ERP Private,聽麻豆原创 Business Data Cloud,聽麻豆原创 Integrated Business Planning and聽麻豆原创 Signavio solutions.

Following its spinoff from Continental AG in September 2025, AUMOVIO is redefining the automotive landscape with its bold vision to make mobility safe, exciting, connected and autonomous. With over 100 years of experience and a global footprint of more than 86,000 employees across over 100 locations, AUMOVIO is now embracing 麻豆原创鈥檚 intelligent enterprise solutions to become even more dynamic, agile and competitive.

鈥淭his move to the cloud and these solutions will transform our operations,鈥� said Thorsten Pache, CIO of AUMOVIO. 鈥淲e鈥檙e building a digital-first foundation that allows us to scale innovation, respond to market shifts in real time and deliver intelligent mobility solutions that anticipate the needs of tomorrow鈥檚 drivers.鈥�

The deployment of 麻豆原创 Cloud ERP Private provides AUMOVIO with a more secure and flexible digital core, while 麻豆原创 Business Data Cloud enables real-time data harmonization across its global footprint. 麻豆原创 Integrated Business Planning supports comprehensive supply chain visibility and responsiveness, and 麻豆原创 Signavio solutions empower continuous process optimization and transformation.

鈥淥ur collaboration with AUMOVIO demonstrates how cloud technology can accelerate reinvention,鈥� said Thomas Saueressig, member of the Executive Board of 麻豆原创 SE, Customer Services & Delivery. 鈥淏y combining advanced planning, process intelligence and a unified data foundation, AUMOVIO is well positioned to lead in the era of connected and autonomous mobility.鈥�

AUMOVIO鈥檚 transformation reflects its commitment to innovation, operational excellence and collaborative spirit. AUMOVIO is now better positioned to deliver cutting-edge solutions, from sensors and displays to autonomous driving platforms, while maintaining operational excellence and customer-centricity.

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Media Contact:
Lesa Plingen, +49 622 776 9000,聽lesa.plingen@sap.com, CET
麻豆原创 麻豆原创 Room; press@sap.com

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2025 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

This month at , we announced a wave of 麻豆原创 Business AI innovations all built on the same technology foundation that powers our that we are now delivering to our customers and partners, allowing them to add even more value in the future.

We showed how the future of enterprise software is built on an AI-native architecture, powered by 麻豆原创 app, data, and AI foundation. With this approach, we are enabling a platform shift across the tech stack in a non-disruptive fashion, empowering developers to work faster and smarter using the frameworks and tools of their choice.

麻豆原创 HANA Cloud and 麻豆原创 Business Data Cloud: powering our AI-native future

麻豆原创 HANA Cloud is the database for 麻豆原创鈥檚 AI-native software architecture and the foundation of our broader data fabric strategy. At 麻豆原创 TechEd, we announced new AI capabilities for 麻豆原创 HANA Cloud that spur AI innovation.  

For example, Model Context Protocol (MCP) support for 麻豆原创 HANA Cloud is now generally available. This provides direct access to rich multi-model engines. Agents can be grounded in full enterprise data context: navigating relationships across customers and suppliers, understanding geographic dependencies through spatial data, and performing semantic searches through vector embeddings — all within a single in-memory engine.  

We鈥檙e also expanding 麻豆原创 HANA Cloud knowledge graph engine capabilities (Q1 2026) so customers can automatically generate knowledge graphs from 麻豆原创 HANA Cloud metadata. What used to take weeks of manual modeling can now happen automatically in minutes. But that鈥檚 not all. We鈥檙e also enabling agentic memory in 麻豆原创 HANA Cloud. With long-term memory, AI agents can memorize past inputs and decisions — learning and remembering just like humans — and become continuously smarter.

These advances show that 麻豆原创 HANA Cloud is truly powering an AI-native future. .

Bringing together the power of 麻豆原创 BDC and Snowflake

We are bringing the power of Snowflake together with 麻豆原创 Business Data Cloud (麻豆原创 BDC), calling it 麻豆原创 Snowflake. This partnership enables zero copy data sharing with Snowflake via 麻豆原创 BDC Connect.

Enterprises already using Snowflake today can leverage 麻豆原创 BDC Connect to integrate their existing instances of Snowflake with 麻豆原创 BDC, giving them seamless, real-time access to combined, semantically rich 麻豆原创 with non-麻豆原创 data in 麻豆原创 BDC. 麻豆原创 Snowflake will be made generally available in Q1 2026, and 麻豆原创 BDC Connect for Snowflake in H1 2026. Find more information here.

麻豆原创-RPT-1: a new category of AI models

One of our most exciting announcements at 麻豆原创 TechEd was the launch of our first enterprise relational foundation model 麻豆原创-RPT-1, pronounced: 鈥渞apid one.鈥�

Businesses run on structured data. But large language models (LLMs) struggle with a general understanding of table structures and associated semantics. This requires the use of machine learning, or 鈥渘arrow AI,鈥� for tasks like classification, regression, and more. But classical machine learning necessitates training a model on each task, which easily can lead to hundreds of separate models.

麻豆原创-RPT-1 puts them all into one single, pre-trained model that understands relational business data and predicts business outcomes. Unlike language, image, or video models, 麻豆原创-RPT-1 accurately predicts business based on tabular data such as payment delays, supplier risks, upsell opportunities, customer churn risk, and more.

We believe that 麻豆原创-RPT-1 is a super capable foundation model today. It provides up to 2x better prediction quality compared to narrow models and 3.5x better prediction quality as compared to LLMs. .

麻豆原创-RPT-1 comes in three versions. 麻豆原创-RPT-1-small is for super-fast predictions and 麻豆原创-RPT-1-large is for highest accuracy. Both will be generally available in Q4 2025 in the generative AI hub in AI Foundation. 麻豆原创-RPT-1-OSS is the open-source version, available in Hugging Face and GitHub.

You can test 麻豆原创-RPT-1 today with your data or our use case data samples via no-code UI or via API in the new 麻豆原创-RPT-1 playground, an intuitive and interactive space to test for free and open to everyone and .

We are continuously adding new capabilities to AI Foundation and models to the generative AI hub, empowering developers to experiment with orchestration tools and leading models to scale AI development and productization across 麻豆原创 and non-麻豆原创 environments. For example, Perplexity is now generally available in the generative AI hub, so users can correlate business data with external data from the internet. Evaluation Services and Prompt Optimizer, in close collaboration with NotDiamond, are now also generally available in AI Foundation, freeing up users to adopt the most appropriate model for their use cases without the need for rewriting prompts. .

Digital sovereignty made in Germany, for Europe

Digital sovereignty is becoming increasingly important, reflecting the need for regional AI services that align with local regulations, standards, and values. As an example, Europe will benefit from its own strong, trustworthy infrastructure to support innovation, data protection, and ethical AI.

AI Foundation, including various models and all the services we offer, is already available on our own cloud infrastructure. As a next step, we are expanding our 麻豆原创 Cloud Infrastructure offering in our 麻豆原创 data center in Walldorf, Germany, to Deutsche Telekom through the Industrial AI Cloud project, providing secure, high-performance infrastructure for AI innovations across public institutions, defense, and society. 麻豆原创 delivers 麻豆原创 Cloud Infrastructure, 麻豆原创 Business Technology Platform, and applications 鈥� including our AI Foundation with frontier AI from Mistral, Cohere, and others 鈥� on Telekom鈥檚 Munich data center. Both companies uphold the highest standards of data protection, security, and reliability.

This marks a milestone as more European companies join the Industrial AI Cloud project, advancing applied AI across Europe with trusted, business-embedded solutions that unlock the full potential of industry data. See the announcement here.

Enabling customers to build, extend, share, and orchestrate AI agents

To help manage Joule Agents and Joule skills, we have introduced the concept of AI Assistants 鈥� role-based AI teammates, accessed through Joule 鈥� like a financial assistant that brings together agents for cash collection, treasury, and more. We will provide AI Assistants in Joule for every core business role, offering our users an agentic experience like never before.

Out-of-the-box Joule Agents are powerful, but we know that every company has unique requirements. We believe AI should adapt to users鈥� systems, not the other way around, so we are enabling them to use Joule Studio to extend 麻豆原创鈥檚 pre-built agents with custom fields, tools, and reasoning logic while retaining all the deeply grounded integration capabilities 麻豆原创 provides. Joule Studio also provides low-code tools to build custom agents that integrate with all other Joule Agents, Joule skills, and 麻豆原创 BDC.

Using a low-code approach, users can build Joule Agents visually with natural language and drag-and-drop. But we also want to meet the needs of developers who want ultimate flexibility. Our pro-code approach gives developers the freedom to build agents using the agentic framework of their choice 鈥� for example, LangGraph, CrewAI, Google鈥檚 Agent Development Kit, and more. 麻豆原创 Cloud SDK for AI now supports agentic development, ensuring these pro-code agents can be seamlessly integrated and giving developers the best of both worlds: deep integration and full flexibility.

No matter how you want to build agents, an important question is how to integrate them into the larger ecosystem beyond 麻豆原创. We鈥檙e making Joule Agents fully compatible with the agent-to-agent (A2A) protocol soon, so agents can discover and collaborate with each other.

A2A exposes rich semantics describing an agent鈥檚 capabilities, allowing both 麻豆原创 and third-party agents to work together seamlessly. We are collaborating with partners 鈥� AWS, Google, Microsoft, ServiceNow, and more 鈥� to standardize this protocol for full interoperability. This capability will allow Joule to orchestrate tasks across multiple agents, both 麻豆原创 and non-麻豆原创, increasing automation and productivity across the enterprise. Read more here.

To manage and govern agents across the enterprise, is now generally available, providing centralized control of 麻豆原创 and non-麻豆原创 agents. In addition, is available now for tracing agent actions, benchmarking against KPIs, and identifying bottlenecks or opportunities for agents to further improve business.

No 麻豆原创 TechEd without ABAP news

The ABAP journey continues with 麻豆原创-ABAP-1, which will be available in the generative AI hub in Q4 2025. Trained on ABAP code, it is designed to build ABAP AI use cases, enabling developers to build smarter, custom AI solutions in modern ABAP code. .

In addition, ABAP Cloud development is coming to Visual Studio (VS) Code. The new ABAP Cloud extension for VS Code delivers a streamlined, file-based development experience with built-in AI assistance. Powered by an ABAP language server, it will initially support 麻豆原创 Fiori UI service development and expand to additional ABAP Cloud scenarios over time. This brings ABAP development into the same environment where developers already build with UI5 and CAP. General availability is planned for Q2 2026. .

What鈥檚 next: embodied AI and quantum

麻豆原创 TechEd is always an opportunity to look to the future. This year, that future includes not just humans, but also autonomous devices, including humanoid robots.

By integrating Joule Agents natively with robots, 麻豆原创 is bringing business logic into the physical world, enabling a wide range of autonomous devices to operate with enterprise context. We highlighted our strategic partnerships with robotics companies and system integrators to serve customers like Sartorius, Bitzer, and Matur Fompak, demonstrating how our expanding physical AI ecosystem enables robots to understand business processes and execute complex tasks autonomously.

Early proof-of-concept deployments show Joule successfully integrated with 麻豆原创 business applications and autonomous systems across asset performance, logistics, field services, and warehouse operations. While still in the pioneering stage, these implementations illustrate how 麻豆原创 is extending Joule to serve both human users and autonomous devices, shaping the future of enterprise AI.

Read more about the partnerships and implementations here.

AI is a new compute paradigm that changes everything. But there is another compute paradigm on the horizon: quantum computing. It鈥檚 early days, but 麻豆原创 is driving the future of enterprise computing with a vision to help businesses get ready for quantum computing.

麻豆原创 is not building quantum hardware; instead, we are focusing on creating quantum algorithms for business applications. These solutions are simple to deploy 鈥� on when needed, off when not 鈥� and are designed to be hardware-agnostic, collaborating with partners such as IBM to ensure seamless integration without re-platforming. This approach will enable organizations to unlock operational efficiency and drive better business results at enterprise scale.

I couldn鈥檛 be more excited about what鈥檚 next for our customers鈥� future as we bring 麻豆原创鈥檚 AI-native architecture to life.

Philipp Herzig is CTO of 麻豆原创.

An intelligent application includes three distinct layers: data products, domain content, and applications. When all these components come together, intelligent applications become a suite of adaptive, AI-powered applications that can learn from data, understand business context, and act on behalf of a user. They are built to complement 麻豆原创鈥檚 transactional applications and sit on top of 麻豆原创 Business Data Cloud.

But what makes these applications different from existing analytics solutions? 鈥淭raditional reporting and analytics is focused on producing insights and reviewing past performance,鈥� said Brian Raver, vice president, 麻豆原创 Business Data Cloud Product Marketing. 鈥淲ith intelligent applications, we go a step further. We provide out-of-the-box data products, model them together for actionable insights, and close the loop by allowing the intelligent applications to continuously learn and adapt based on that data.鈥�

Three layers of an intelligent application

Data products

These are ready-to-use, curated data sets that are delivered for analytics, AI, machine learning, and operational use cases and provide insights related to a specific business topic or challenge. 鈥淎 data product consists of a refined data set, metadata describing the data set, and an access port or application programming interface (API), allowing to exchange data with third-party applications,鈥� Raver explained. Metadata provides detailed descriptions of the data set, including business definitions and explanations of each field, ensuring that users understand the context and meaning of the data they are working with. Available data products are published in a catalog for developers and data professionals for easy discovery and direct access to various use cases from analytics to application development.

Domain content

Data products are then combined into 麻豆原创 Datasphere semantic models that power 麻豆原创 Analytics Cloud stories and planning models. These out-of-the-box, interactive dashboards enable customers to analyze performance, monitor key metrics, and plan for high-value business scenarios.

Applications

Pro-code applications transform the domain content and data products into recommended actions that are directly connected to 麻豆原创 transactional systems. Over time, they continuously learn and adapt based on business outcomes. The future vision is for these applications to go beyond recommendations and empower AI agents to act on their own. 鈥淚ntelligent applications encapsulate end-to-end business processes, while AI agents act as users within these processes,鈥� Raver explained. 鈥淎I agents can interact with intelligent applications to perform tasks typically done by human users.鈥�

Benefits for customers

An important benefit for customers is that intelligent applications extend the value of existing investments in 麻豆原创 Business Suite. According to Raver, a key advantage lies in the intelligent applications鈥� deep connection with 麻豆原创’s transactional systems. 鈥淭hese applications provide out-of-the-box data assets that not only fuel intelligent applications but are also accessible for developers and data professionals to use in their own analysis,鈥� Raver explained. This built-in access to curated, high-quality data allows customers to unlock insights and drive value faster, without requiring extensive data engineering resources.

Looking ahead, as AI capabilities continue to mature, these intelligent applications are expected to evolve from providing recommendations to taking actions autonomously. 鈥淚n the future, these applications could act on their own, learning from user behavior to automate repetitive tasks, free up time for more strategic work, and reduce the need for manual intervention,鈥� Raver said.

By combining trusted 麻豆原创 data, intelligent automation, and emerging AI agents, the intelligent applications are helping to close the loop between insight and action.

What sets 麻豆原创 apart

Unlike other vendors that need to reverse-engineer data, 麻豆原创 provides ready-to-use data products, helping to save customers significant time and effort. 鈥淭his seamless integration and the ability to deliver immediate value set 麻豆原创 apart in the competitive data market,鈥� Raver said.

In addition to the 麻豆原创-delivered data products, 麻豆原创 also enables bi-directional zero-copy sharing of semantically rich data products between 麻豆原创 Business Data Cloud and other partner data platforms, starting with the already available . This capability, called 麻豆原创 Business Data Cloud Connect, enables seamless access to data where it resides, helping to eliminate costly data preparation and loss of semantics and business context. As a next step, 麻豆原创 Business Data Cloud Connect for Google BigQuery is planned to be generally available in the first half of 2026. Additional partnerships with key players in the data platform market are expected to follow.

With the latest announcements, 麻豆原创 now offers three intelligent applications鈥擣inance Intelligence, People Intelligence, and Cloud ERP Intelligence Private鈥攁nd another three in restricted public preview鈥擲pend Intelligence, Supply Chain Intelligence, and Revenue Intelligence. 鈥淚ntelligent applications powered by curated data products will transform how businesses operate by making data-driven decisions faster and more efficiently. As the market continues to evolve, these apps will play a crucial role in helping companies stay ahead of the curve,鈥� Raver said.

gives organizations the tools to lead with confidence. Part of the , 麻豆原创 SuccessFactors brings together global core HR, AI-driven insights, and a unified skills foundation to connect people and processes, close skills gaps, simplify compliance, and build a workforce ready for what鈥檚 next.

With the second half 2025 (2H 2025) product release, we鈥檙e excited to introduce hundreds of new features and enhancements in 麻豆原创 SuccessFactors, many enabled by AI. Together, these innovations help HR teams, business leaders, and employees work smarter, move faster, and stay future-ready.

Drive better people and business decisions

Data about people, skills, performance, and business outcomes exists everywhere, but without a clear view, it鈥檚 difficult to act. , now generally available, is designed to help organizations make better workforce decisions by unifying 麻豆原创 and third-party data. Through intuitive dashboards, AI-assisted insights powered by Joule, and hundreds of HR metrics, leaders can now move from insights to action with unprecedented speed.

With pre-built use cases spanning critical areas like skills, compensation, recruiting, learning, performance, and succession, People Intelligence makes it easier to uncover trends, identify opportunities, and take action. By bringing together clean, centralized HR data and powerful AI, it equips HR and business leaders with the intelligence they need to drive meaningful workforce transformation.

Build a future-ready workforce

To stay competitive, organizations must continuously evolve alongside their people. This release introduces new innovations that align skills, performance, and development with future business needs.

We are excited that the in 麻豆原创 SuccessFactors is now available. This agent empowers managers to lead consistent, high-impact performance conversations by analyzing employee data, such as performance goals, activities and achievements, and continuous feedback, to create tailored conversation prompts for each employee. Using Joule, managers receive AI-guided insights like goal progress summaries, key accomplishments, growth focus areas, and development recommendations. Users can ask follow-up questions to dive deeper into any of these areas. 

Additionally, business rules integration in performance management support consistent and transparent performance reviews by automating feedback prompts and actions based on predefined conditions, such as dynamically exposing a comment field only when a rating condition is met.

Succession planning is also getting a boost with skills-based successor recommendations in , which analyzes skills, proficiency levels, and internal work experiences captured in employee growth portfolios to recommend potential successors who might have been overlooked using traditional metrics. And with the new person-based model for talent management, organizations can drive smarter talent decisions, faster reskilling, and greater workforce agility by unifying learning and talent data in a person-based view that follows employees across changing roles, teams, and assignments. 

Enable agile and compliant HR 

As regulations evolve and business needs shift, HR must stay both agile and compliant. This release introduces new capabilities to help teams adapt quickly while ensuring accuracy and trust.

The new solution,available to early adopters in January 2026, supports optimized shift planning in manufacturing and other production industries by aligning workforce skills and staffing levels with operational demand. Geofencing in 麻豆原创 SuccessFactors Time Tracking helps prevent fraud and ensure compliance by defining work site locations and ranges to govern where employees can clock in and out. 麻豆原创 SuccessFactors Employee Central simplifies U.S. leave management by connecting with FMLA service providers to automate leave deductions and improve tracking accuracy.

Across the suite, our updated home page delivers a more intuitive and personalized experience for users with streamlined navigation, targeted communications, and real-time insights across desktop and mobile.

Extend applications to easily adapt

As workforce expectations and business priorities evolve, flexibility is key. This release delivers new capabilities to help seamlessly connect and optimize HR processes, maximizing investments while supporting the changing needs of people and the organization.

is now enhanced by Joule and generative AI to deliver faster access to information, improved self-service, and more informed decision-making. Joule streamlines tasks with role-based self-service, workflow automation, and real-time insights, while generative AI simplifies feedback, coaching, and goal updates with context-aware insights. Employees can also quickly find company-specific knowledge through Joule for accurate, relevant information when they need it.

Lead the future of HR

With the 2H 2025 release, 麻豆原创 SuccessFactors HCM helps HR leaders navigate complexity with ease. By uniting global HR, AI-driven insights, and a unified skills foundation, organizations can make smarter decisions, develop future-ready talent, and stay agile in a rapidly changing world.

To learn about our latest innovations and enhancements, check out the or . 聽

Bianka Woelke is group vice president and head of Application Product Management for 麻豆原创 SuccessFactors.

Against the backdrop of the event theme鈥�”Connect Everything, Achieve Anything: Agents, Data, and the Business Suite鈥濃�攖hey set out 麻豆原创鈥檚 vision for how 麻豆原创 Business Suite, which combines AI, data, and applications, can transform enterprises and deliver unprecedented business value to customers despite global macroeconomic uncertainties. 

Unique times

鈥淲e are living in very unique times,鈥� Alam said at the start of the keynote. 鈥淯nique in terms of the unpredictability we face from a geopolitical and macroeconomic perspective,鈥痑nd also unique in terms of the advancement in AI and the potential that carries for all of us.鈥�  

He added, 鈥淓ven the most significant challenges can be responded to, navigated, and鈥攚hen approached the right way鈥攖urned into opportunities. And that鈥檚 exactly where 麻豆原创 comes in. Because the best way to face uncertainty is with confidence that you can see what鈥檚 happening across your business and your network.鈥� 

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The CFO perspective 

His comments were echoed by CFO and Executive Board Member Dominik Asam in an onstage discussion with economist and Berkeley professor Ulrike Malmendier, during which they likened the role of the CFO in navigating today鈥檚 business uncertainties to that of co-piloting a modern jet. 

鈥淎I is the next supercycle and has what it takes to create an effective cockpit for the CFO, including recommendations about real actionable options all the way to autopilot for less critical tasks,鈥� Asam said. He also warned that standing on the sidelines of technological progress is 鈥渁 sure recipe for falling behind in competition.鈥�  

鈥淎s in prior tech supercycles, the entire competitive playing field is being completely reshuffled,鈥� he said.

New products

Building on this theme, Alam noted that while uncertainty is real and isn鈥檛 going away, it can be successfully navigated and turned into opportunities. To help customers achieve this, he announced several new and enhanced 麻豆原创 products. 

Among them, 麻豆原创 Supply Chain Orchestration is an AI-native application that uses a network knowledge graph to analyze real-time signals across a company鈥檚 multi-tier supply chain to detect risks and issues, such as extreme weather or tariffs. It then helps customers minimize disruptions by assessing the impact of these risks and suggesting alternatives to help minimize disruptions.   鈥淭hink of it like a GPS in your car which selects an alternative route to avoid traffic or tolls,鈥� Alam explained. In addition, he announced a major update to the 麻豆原创 Ariba solutions for source-to-pay suite, positioning 麻豆原创 Ariba as the most modern platform in the industry and the only truly AI-native source-to-pay solution鈥攁ll built on 麻豆原创 Business Technology Platform.

The human-AI partnership opportunity 

Turning to uncertainties over the future of work itself, 麻豆原创 Chief People Officer and Executive Board Member Gina Vargiu-Breuer, who is leading 麻豆原创鈥檚 own workforce transformation, was joined on stage by Ian Beacraft, founder and chief futurist of Signal and Cipher. 

鈥淎t 麻豆原创, we know firsthand that AI is everywhere, shattering norms and transforming the workforce,鈥� Vargiu-Breuer said. 鈥淎nd we as 麻豆原创 are boldly steering this shift, as requirements for our workforce are simply changing really fast.鈥�  

Vargiu-Breuer emphasized that a successful business AI strategy also depends on leveraging AI alongside human expertise and fostering what she described as 鈥渁 collaborative human + AI approach, rather than just automation.鈥�  鈥淏y integrating AI’s capabilities with human creativity, empathy, and judgment, we move beyond simple automation into real human-AI power couples,鈥� she said. 鈥淯ltimately, the future will favor those who embrace orchestration, delegation, and creative problem-solving.鈥�

Role-based AI assistants

Echoing this human-centric approach, Alam noted, 鈥淓veryone is talking about agents鈥攂illions of agents鈥攁nd agents taking over everything. We want to talk about people, the roles they play, and the tried-and-tested organizational constructs in place today that are running complex businesses across industries.鈥� 

Reflecting this, he said 麻豆原创 is making Joule deeply aware of the workstyle of the person it partners with, their role, and the business process context in which they operate. 鈥淭oday, we are introducing AI assistants, including a receivables assistant for your accounts receivable colleagues, a controlling assistant for your controlling colleagues, a demand Planning assistant for your demand planning colleagues, and an AI assistant for every role.鈥�   Each assistant has agents and AI tools at their disposal to help make the person it partners with smarter and more efficient, Alam explained.

Taking the receivables assistant as an example, he said it can handle collections and dispute resolution today and will soon also be able to help with fraud detection, invoice processing, and payment scheduling. 鈥淥ver time, we will continue to make this assistant even smarter by adding more agents and capabilities鈥攁ll designed to make the person in this role more effective.鈥�

Deep research and new intelligent applications

鈥淲hile efficiency and automation carry potential for great value for the organization, AI鈥檚 greatest strength is in unlocking insights and recommendations based on its ability to do deep research across vast amounts of internal and external data, which is hard for people to do,鈥� said Alam. To address this challenge, 麻豆原创 is introducing deep research in Joule, a capability that can research and analyze complex problems and deliver findings quickly and efficiently. 

Following additional announcements, including an expanded set of 麻豆原创 Business Data Cloud Intelligent Applications and an enterprise wide, multi-stakeholder engagement orchestration solution in 麻豆原创 Engagement Cloud, Alam closed out the keynote by reminding his audience: 鈥淭o create exponential value and to reach the global maxima for your enterprise, the whole matters.  And that鈥檚 what we are focused on: providing you with best-in-class applications, seamlessly and natively integrated across the breadth of finance, spend, supply chain, HCM, and customer experience.鈥� 

麻豆原创 Business Suite delivers unprecedented value

The unmatched value of 麻豆原创 Business Suite is that it brings together the power of best-in-class applications with a semantically rich harmonized data layer to power high-value AI in a singular seamless experience. It helps you manage uncertainty, evolve your workforce, and break down silos to create amazing customer value.

New intelligent applications and open ecosystem
partnerships turn insights into action across the enterprise

As enterprises move toward an AI-driven future, the role of data has never been more critical. Yet much of that data remains locked in silos 鈥� spread across teams, clouds, and legacy systems.

This fragmentation creates a 鈥渃ontext gap,鈥� where information is technically available but disconnected from the business meaning that makes it actionable. For example, sales and marketing teams may share a common view of pipeline, but without linking it to product feedback or process bottlenecks, AI models trained on that data miss the full business context. The result is inconsistent insights, slower decision-making, and a stalled cycle of AI, data, and applications. 

closes this gap. By harmonizing enterprise data wherever it resides and preserving its business context, it provides the foundation for intelligent applications and reliable AI.

At 麻豆原创 Connect, 麻豆原创 is bringing this vision to life with the next wave of innovations: 麻豆原创 Business Data Cloud Intelligent Applications 

Four new intelligent applications in preview

Building on the momentum for intelligent applications established at 麻豆原创 Sapphire, 麻豆原创 is now opening a restricted public preview of four intelligent applications designed to transform decision-making across finance, procurement, supply chain, and revenue operations.

Finance Intelligence gives CFOs and finance teams real-time AI-powered analysis of liquidity by harmonizing 麻豆原创 and third-party data and suggesting key actions to implement. Leaders can forecast cash flow instantly as well as detect liquidity risks using AI trained on live receivables and payables with external credit data such as 惭辞辞诲测鈥檚 for richer customer risk assessment. With Joule and generative AI agents automating routine finance tasks, finance teams can shift their focus from reporting on the past to actively steering the future. 

Spend Intelligence provides organizations with a single, comprehensive view of enriched and classified spend data. Built-in AI and advanced analytics uncover patterns, anomalies, and opportunities for cost savings, while collaborative features connect finance, procurement, HR, and supply chain teams for better alignment. Through native integration with 麻豆原创 source-to-pay solutions, spend data continuously informs operational workflows, improving decision-making, enhancing control, and strengthening enterprise resilience. 

Supply Chain Intelligence equips operations leaders with the context to make faster, more impactful decisions. By combining 麻豆原创 data with external signals such as weather, regulatory updates, and market shifts 鈥� along with insights from millions of partners in 麻豆原创 Business Network 鈥� businesses can leverage the power of AI to understand and take action on key supply chain issues and drive optimization. This comprehensive intelligence helps anticipate disruptions, evaluate supplier risks, and orchestrate decisions seamlessly from prediction to execution, ensuring more resilient and agile operations. 

Revenue Intelligence transforms fragmented customer touchpoints into unified, actionable insights. By linking individual customer behaviors with enterprise-wide operations, it helps revenue leaders see which accounts to prioritize, when to intervene, and how to optimize customer investments. Unlike CRM-only tools, Revenue Intelligence connects front-office engagement to back-office execution, empowering organizations to maximize growth opportunities and strengthen customer relationships with a complete view of the business context.

麻豆原创 Business Data Cloud Connect

Beyond intelligent applications, 麻豆原创 is strengthening its open data ecosystem with 麻豆原创 Business Data Cloud Connect, giving customers unprecedented flexibility to work with trusted data wherever it resides. With secure, zero-copy sharing, customers can bring 麻豆原创 data products directly into their existing data platforms, eliminating duplication, reducing transformation efforts, and extending the reach of 麻豆原创鈥檚 business data fabric.

The first partners adopting this capability include Databricks (generally available) and Google (now in public preview), enabling real-time, bi-directional access to semantically rich 麻豆原创 data products in environments customers already use.

With 麻豆原创 Business Data Cloud Connect for Databricks now generally available, organizations can accelerate analytics and AI initiatives with greater speed, less friction, and full confidence in the integrity of their data.

麻豆原创 is committed to rapidly expanding this partner ecosystem so that, no matter where enterprise data resides, customers can connect it with trust, governance, and business context. 

Why it matters

Together, these announcements reflect 麻豆原创鈥檚 vision for the intelligent enterprise 鈥� where applications don鈥檛 just analyze, but act. By combining trusted data, open connectivity, and embedded AI, enterprises can shorten decision cycles, reduce integration complexity, and align intelligence directly with business outcomes.

For organizations operating across hybrid environments and complex data landscapes, these innovations make it easier than ever to turn insights into action and deliver measurable impact.

This week at , customers can experience this vision firsthand through live demos, real-world case studies, and discussions with 麻豆原创 leaders, partners, and peers. It鈥檚 an opportunity to see how 麻豆原创 Business Data Cloud is redefining decision-making today and shaping the future of the intelligent enterprise.

Irfan Khan is president and chief product officer for 麻豆原创 Data and Analytics.

At the same time, there is a huge opportunity to entirely re-think supply chains with AI and agentic workflows as the powerful transformation agents of the next decade. The lesson is clear: companies that invest in AI-driven applications and reliable data and re-think processes maintain continuity and customer trust, while others risk prolonged shocks, lower service levels, increased cost, and lost revenue.

Today at Supply Chain Connect at 麻豆原创 Connect, we are building on the phenomenal momentum of AI-driven supply chain transformations with innovations designed to help supply chain leaders not just endure disruption, but transform it into an opportunity for resilience and growth.

Introducing 麻豆原创 Supply Chain Orchestration

In today鈥檚 dynamic market, foresight and a reduced time-to-recover are everything. Business leaders must know where their products are, which suppliers or sub-suppliers are at risk, and how to respond with confidence. Yet, visibility gaps often leave organizations blindsided.

is a new AI-centric solution built to detect potential disruptions early, contextualize risk to a company鈥檚 unique supply chain configuration, apply intelligent impact analysis, and trigger AI-driven actions across planning, logistics, procurement, and manufacturing. Soon, supply chain stakeholders will be supported by powerful Joule assistants that leverage AI agents to strengthen supplier compliance, increase customer service, and reduce revenue exposure.

What sets 麻豆原创 Supply Chain Orchestration apart is its foundation on . The solution integrates data from and , providing a comprehensive view across every tier of the supply chain. These multi-tier insights help turn external and internal risk signals into prioritized actions, boosting operational efficiency, compliance, and customer satisfaction.

Set to be available in the first half of 2026, 麻豆原创 Supply Chain Orchestration is the next step toward a future where businesses can anticipate global shifts before they escalate with a severe business impact.

Advanced AI capabilities and unified scenario simulations optimize supply chain planning

麻豆原创 is enabling its customers to reimagine supply chain planning to become faster, smarter, and more connected with . This evolution of the product combines intelligent automation, a harmonized data model, and AI-driven capabilities to enhance forecasting, streamline processes, and help planners focus on critical decision making.

A harmonized planning area now supports both time-series and order-based planning, allowing users to move seamlessly among strategic, tactical, and operational levels, which ultimately enables seamless telescopic planning. New harmonized scenario simulations reveal the impact of alerts and risks to orders across all planning horizons. Embedded AI strengthens forecasting and inventory management, while characteristic-based planning adds right-fidelity supply planning to optimize stock and capacity matching for critical industries such as fashion retail, high-tech, life sciences, or consumer products.

The new Configurable Planner Workspace provides a unified interface where planners can monitor performance, simulate scenarios, and act immediately 鈥� guided by , 麻豆原创鈥檚 copilot, which delivers contextual assistance and actionable insights from forecasts, supply plans, and multi-echelon inventory.

AI capabilities are currently in beta mode and planned for general availability in Q2 2026, while all other enhancements are now generally available.

New Joule Agents accelerate decisions and automation across the supply chain

麻豆原创 introduces three new聽聽for supply chain management, designed to automate critical, time-consuming tasks and empower teams to focus on strategic decision-making. These agents embed AI-native automation directly into 麻豆原创 Cloud ERP, 麻豆原创 Cloud ERP Private, and 麻豆原创 Business Network workflows, reducing manual effort and minimizing errors.

• Production Planning and Operations Agent: Automates prerequisite checks for releasing production orders, validates material, capacity, and scheduling, and can recommend workarounds or release orders instantly 鈥� shortening order-to-delivery cycles and reducing costs. General availability is planned for Q1 2026.
• Change Record Management Agent: Supports product managers and engineers by reasoning over problem reports and change requests, recommending next steps, and initiating changes, which improves governance, traceability, and decision speed. General availability is planned for Q2 2026.
• Supplier Onboarding Agent: Streamlines onboarding in 麻豆原创 Business Network by reasoning over supplier details, orchestrating invitations, validating data, and handling escalations, which enables procurement teams to scale faster while focusing on strategic supplier development.

With these agents, 麻豆原创 is embedding intelligence deeper into day-to-day supply chain workflows, accelerating decisions where they matter most.

Upgrading 麻豆原创 Business Network to meet customer needs

Global commerce is more interconnected than ever, but too many organizations still operate with fragmented procurement and logistics processes. 麻豆原创 is introducing upgrades to 麻豆原创 Business Network, the world鈥檚 largest B2B platform, facilitating over US$6.3 trillion in annual commerce across 190 countries.

• Availability on 麻豆原创 BTP: 麻豆原创 Business Network now runs on 麻豆原创 BTP, providing a modern data foundation and enabling organizations to coordinate deals at scale. It connects easily across 麻豆原创 and third-party systems, introduces a unified global directory with guided onboarding, and offers workflow customization through 麻豆原创 Build. Joule integration will be available in January 2026, bringing embedded AI to analytics, automation, and approvals across the network.
• Network-centric integration across the business suite: Rolling out later this year, 麻豆原创 Business Network will support end-to-end value streams with 麻豆原创 Cloud ERP, 麻豆原创 Ariba, 麻豆原创 Fieldglass, and 麻豆原创 Transportation Management. This will accelerate dispute resolution, improve emissions tracking, and enable AI-assisted navigation.
• Simplified supplier data access: By Q4 2025, users will be able to search for suppliers directly from their ERP interface, eliminating manual onboarding. Buyers will gain faster access to new vendors, reducing activation costs and expanding visibility.

Together, these innovations enhance 麻豆原创 Business Network with intelligence, reach, and usability 鈥� delivering embedded AI, seamless business suite integration, and ERP-native supplier discovery.

麻豆原创 launches new logistics management solution

麻豆原创 is announcing , a new cloud-native solution designed to complement operations of large distribution centers with capabilities to support smaller, local, and regional warehouses. This will help establish multi-tier distribution networks that strengthen resilience and increase delivery speed.

Fully connected to 麻豆原创 Cloud ERP Private and 麻豆原创 Business Network for Logistics, the solution centralizes inventory, shipments, and partner coordination. Unlike standalone tools, it extends ERP capabilities directly to satellite warehouses, drastically reducing manual tasks and ensuring consistency across networks.

Built-in AI capabilities guide operational decisions, eliminating silos and strengthening collaboration across logistics ecosystems. 麻豆原创 Logistics Management will be available in Q1 2026.

Doehler, a global producer of technology-driven natural ingredients for the food, beverage, and nutrition industry, will leverage the solution in its warehouses to manage its production sites, samples and spare parts.

鈥溌槎乖� Logistics Management is set to deliver lean process automation and accelerated transformation for most of our more than 50 production sites, sampling operations and technical warehouses,鈥� said Dr. Michael Merget, Chief Operating Officer of Doehler Group. 鈥淲e see its powerful, integrated AI capabilities not as an add-on, but as the core intelligence that will define the future of our logistics.鈥�

Looking ahead

Resilient, intelligent, and collaborative supply chains are no longer aspirations 鈥� they are necessities. Together, these innovations reflect 麻豆原创鈥檚 vision for a fully orchestrated supply chain. The next generation of supply chain technology will empower businesses to detect disruptions early, harness data at scale, and consistently exceed customer expectations. By leading with intelligence and foresight, companies can transform crises into opportunities and position themselves to thrive in a world defined by uncertainty.

For more details on all announcements made this week, please refer to the .

Dominik Metzger is president and chief product officer for 麻豆原创 Supply Chain Management.

麻豆原创 reimagines enterprise AI with role-based assistants in
Joule that coordinate agents across lines of business

LAS VEGAS 鈥� At its inaugural 麻豆原创 Connect event, (NYSE: 麻豆原创) showcases how the integration of AI, data and applications creates unparalleled business value.

These breakthroughs 鈥� including a new network of role-based assistants in Joule that partner with humans to elevate performance, an expanding data ecosystem that drives deeper insights and supply chain software that anticipates disruptions 鈥� once again revolutionize how business gets done.聽

“To thrive when volatility is the new normal, businesses need more than a patchwork of disparate best-of-breed applications,” said Muhammad Alam, member of the Executive Board of 麻豆原创 SE, 麻豆原创 Product & Engineering. “Our announcements today demonstrate the power of 麻豆原创 Business Suite, where AI, data and applications come together in an experience to propel smarter decisions, faster execution and scalable transformation.”

AI that Partners with People

麻豆原创 unveils Joule鈥檚 next stage as the AI force at the center of 麻豆原创 Business Suite鈥檚 value creation. Drawing on the applications and data from across 麻豆原创 Business Suite, 麻豆原创 is introducing a new generation of role-aware assistants in Joule. Each assistant is designed to partner with a human being in their specific business role. Assistants in Joule tap into the right agents for the job, configuring, orchestrating and managing them so humans can focus on unlocking new levels of insight and productivity.

Supporting the assistants in Joule is a , designed to help execute complex workflows within a specific function. For instance, a People Manager Assistant coordinates a team of specialized agents — including the new People Intelligence Agent, which helps spot and resolve issues like compensation anomalies — to support managers as they drive performance. A new Financial Planning Assistant will be aided by a group of expert agents — including the new Cash Management Agent, which optimizes cash flow and improves interest yields — to help finance professionals drive efficiencies. This new roster of role-aware AI assistants not only partner with people to elevate performance in their lines of business but also work together across business functions to solve complex enterprise-wide problems.

Data that Defies Boundaries

Data fuels AI鈥檚 transformative power but it鈥檚 often siloed in different systems. At 麻豆原创 Connect, we are removing those barriers with 麻豆原创 Business Data Cloud Connect. 麻豆原创 BDC Connect securely links 麻豆原创 BDC with partner platforms to enable a bidirectional flow of business-ready data products across organizational and technological boundaries.

With zero-copy sharing, data stays securely in 麻豆原创 systems yet remains instantly accessible in customers鈥� existing data platforms, preserving business context without costly copies. The result: fewer silos, simpler pipelines, no duplication — just trusted data products where and when they鈥檙e needed.

麻豆原创 also announced that Databricks and Google Cloud are the first partners enabled for 麻豆原创 BDC Connect, with more to follow. As announced in February 2025, 麻豆原创 Databricks remains a data service within 麻豆原创 Business Data Cloud, and 麻豆原创 BDC Connect extends its benefits across an open data ecosystem. These partnerships give customers faster access to data products for analytics and AI, helping teams move from raw data to real-time business outcomes with greater speed and simplicity.

Applications that Turn Data into Action

At the heart of 麻豆原创鈥檚 unique value proposition are enterprise applications where data is created and AI-driven insights are experienced. 麻豆原创 Supply Chain Orchestration is a new AI-native solution that combines the power of Joule with a live knowledge graph to detect real-time risks several suppliers deep and orchestrate a coordinated response, helping customers cut costs and keep supply chains moving. 麻豆原创 Engagement Cloud, a new customer experience solution, uses business-critical context to personalize interactions across customers, suppliers and other stakeholders. And our next-generation 麻豆原创 Ariba procurement suite stands out as an AI-native solution, bringing intelligence to every stage of spend management, from sourcing through supplier engagement.

Altogether, these 麻豆原创 Business Suite innovations mark the beginning of a new era powered by self-reinforcing AI, data and applications that drive intelligence, speed and resilience.

Visit the . Get 麻豆原创 news via  and .

About 麻豆原创

As a global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创) stands at the nexus of business and technology. For over 50 years, organizations have trusted 麻豆原创 to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
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By connecting Google BigQuery, the autonomous data to AI platform with agentic capabilities, and 麻豆原创 and Google aim to help enterprises of all sizes gain more immediate access to trusted, business-ready data for enterprise analytics and AI across their platforms.

For decades, enterprise data and analytics have existed in separate worlds. Mission-critical business data, rich with semantic context, has been locked within transactional systems. Traditional extract, transform, load (ETL) processes create data replicas that are difficult to govern, quickly become stale, and prevent businesses from acting on real-time insights, ultimately hindering digital transformation.

Our 麻豆原创 and Google partnership ends this compromise. By eliminating data replication and unifying the data landscape, 麻豆原创 and Google Cloud are empowering businesses to build intelligent agents, automated workflows, and predictive insights that are directly grounded in live, trusted business information.

As the first hyperscaler to adopt 麻豆原创 BDC Connect, 麻豆原创 BDC Connect for Google BigQuery enables organizations to unlock the true potential of their data and applications with secure and rapid access to 麻豆原创鈥檚 semantically rich and governed data products at scale, without the delays and complexities of data replication and need for ETL pipelines. Customers can flexibly combine 麻豆原创 data with their other enterprise data in BigQuery and vice-versa to innovate with leading analytics and agentic AI capabilities.

鈥溌槎乖� and Google Cloud have a long history of empowering global enterprises to harness the power of data and AI,鈥� said Christian Klein, CEO of 麻豆原创 SE. 鈥淏ringing together Google BigQuery and 麻豆原创 Business Data Cloud gives our customers choice without compromise, enabling them to fast-track their analytics and AI initiatives.鈥�

鈥淏usinesses are combining intelligence and automation into every aspect of their operations,” said Thomas Kurian, CEO of Google Cloud. 鈥淏y uniting 麻豆原创 Business Data Cloud with BigQuery and Gemini models, we鈥檙e making it easy for enterprises to build a unified data foundation that breaks down silos and unlocks a new class of AI agents and applications.鈥�

Innovation with 麻豆原创 data products and Google BigQuery

The centerpiece of this partnership is the new 麻豆原创 Business Data Cloud Connect for Google BigQuery. This is a zero-copy data fabric that enables seamless access to 麻豆原创 BDC鈥檚 semantically rich business data with Google鈥檚 powerful data and AI ecosystem, including Gemini models and the Vertex AI platform. The result is a modern platform for data, analytics, and AI that enables automated, cross-functional business processes.

This bi-directional integration helps to deliver an enterprise-grade offering for building and scaling AI. With 麻豆原创 Business Data Cloud Connect for Google BigQuery, customers can:

• Build grounded, trustworthy AI: Ensure the Google BigQuery AI models and agents operate on the most current and complete view of the business by accessing trusted semantically rich 麻豆原创 data in real-time without copies.
• Deploy autonomous agents: Build and deploy intelligent agents using Google Cloud鈥檚 Vertex AI and Gemini that can automate complex cross-functional processes鈥攆rom supply chain optimization to financial forecasting.
• Unleash deeper insights: Fuse 麻豆原创 data through 麻豆原创 BDC with unique, world-scale datasets only available on Google Cloud, like Google Maps geospatial data, Google Trends, and public datasets, to create unparalleled business context.
• Reinvent analytics: Move beyond dashboards and reports. Enable anyone in the organization to ask complex questions on Google Cloud of their business data in natural language and get immediate, intelligent answers.

Availability

Google Cloud will offer customer and partner incentives that fast-track the adoption of these joint solutions, enabling an accelerated journey to AI-infused data transformations.

麻豆原创 Business Data Cloud is available today in Google Cloud regions across Asia Pacific, Europe, and the U.S., with more regions planned. 麻豆原创 Business Data Cloud Connect for Google BigQuery is planned to be generally available in H1 2026.

In addition, 麻豆原创 BW, private cloud edition, which is offered through 麻豆原创 BDC, is supported in more than 40 Google Cloud regions, helping our customers meet critical data residency and compliance requirements.

The key to navigating this complexity and building a resilient, future-proof organization lies not in guesswork but in harnessing an organization’s most valuable and often underutilized asset: its people data. By adopting a , HR can evolve from a reactive administrative function into a proactive, strategic driver of business success.

A unified view of your workforce

The first and most significant hurdle for many organizations is the prevalence of data silos. When critical workforce information is scattered across disconnected HR, finance, and operational systems, it is impossible to get a clear, holistic view of the organization. This fragmentation is a major barrier to progress, leading to inefficiencies and compromised decision-making and preventing leaders from seeing the critical connections between their people and business outcomes.

Establishing a HR analytics dashboard as single source of truth for all people-related data is the foundational step. By harmonizing data from across the enterprise, leaders can gain real-time visibility into workforce composition, compensation equity, and internal mobility. This unified view fosters a culture of transparency and provides the clarity needed to make confident, data-backed decisions about organizational structure and .

Turning data into insight with AI

Simply collecting vast amounts of data is not enough. The true power is unlocked when that data is transformed into actionable, forward-looking intelligence. This is where artificial intelligence (AI) and people analytics become essential. The adoption of these technologies is accelerating as well. According to IDC鈥檚 Human Capital Management Survey, 59% of HR talent teams and people leaders are strategizing around new use cases for AI-backed workforce analytics.^*

AI-powered applications can analyze complex data sets to identify patterns, trends, and provide tailored recommendations. This allows HR leaders to forecast talent upskilling and reskilling needs, identify employees at risk of attrition, and understand the drivers of engagement so they can proactively address issues before they impact the bottom line.

Driving strategic results across HR

When a foundation of unified data is combined with the power of , the strategic impact can become tangible across all HR functions, driving better employee experiences.

First, consider employee engagement and retention. Disengagement is a critical issue, with companies facing a 92% likelihood of performance-related revenue losses when employees are disengaged.^** A data-driven approach helps uncover the root causes of turnover by analyzing feedback, performance, and compensation data. This allows organizations to address issues related to skills, workforce composition, or compensation, improving retention and building a more engaged workforce.

Second, in the face of a growing skills gap, data is indispensable. The World Economic Forum predicts that 59% of the global workforce will require reskilling by 2030 to meet changing demands.^*** The allows organizations to map the skills their workforce has against the skills they will need, identifying critical gaps with precision. AI-enabled intelligence applications can then help create for employees, ensuring that training investments are targeted, effective, and directly aligned with future business needs.

Finally, a data-driven strategy revolutionizes the hiring process. By analyzing metrics like time-to-fill, quality of hire, and source effectiveness, organizations can streamline recruiting, reduce bias, and make stronger hiring decisions. This not only enhances the quality of hires but also creates significant efficiencies and time savings, freeing up teams to focus on building relationships with top candidates.

The path to building a resilient and competitive organization is paved with data. By breaking down silos, leveraging the power of AI, and applying insights across the employee lifecycle, businesses can transform their people strategy. This evolution elevates HR into a critical strategic partner, capable of guiding the organization with clarity and confidence. In today’s landscape, a data-driven people strategy is no longer a future aspiration but a present-day necessity for success.

Interested in learning more about how People Intelligence can transform your HR strategy? on the latest trends shaping the future of talent and learn more about the latest AI and data-driven innovations in 麻豆原创 SuccessFactors solutions.

Ponti Manolides is a growth priority marketing lead for Learning & Talent at 麻豆原创 SuccessFactors.

*IDC, “Spotlight: Optimize Engagement and Business Impact to Maximize the Potential of Your Talent Practice” August 2025.
**IDC, “,” 2025.
***World Economic Forum, “,” January 7, 2025.

This makes a lot of sense given that today However, the results aren鈥檛 always matching the hype.

A recent found that while enterprise AI adoption is rising, real impact is often elusive. The reason? Many businesses are still operating with disconnected systems and disjointed data. Without a strong foundation, AI can鈥檛 deliver what it promises.

Siloed systems aren鈥檛 just a technology problem鈥攖hey鈥檙e a business barrier.

The CX Disconnect: When Fragmentation Undermines Intelligence

Too many organizations still rely on a patchwork of tools for customer experience, supply chain, finance, and HR. While these point solutions solve individual challenges, they create friction and disconnect across the business. In an AI-powered world, friction is the enemy.

AI thrives on complete, clean, and . If your marketing, sales, service, and fulfillment teams cannot see the same data in real time, or trust that it鈥檚 accurate, your AI strategy will not be set up to succeed.

With the best intentions to embrace AI in an effort to achieve incredible efficiency, instead, customers will still lose valuable time on manual integration, inconsistent customer experiences, and AI outputs that are only as good as the (fragmented) feeding them. The delightful experience aspirations turn into trust lost and frustration all around.

Modular Innovation, Meet Enterprise Intelligence 

麻豆原创 has reimagined enterprise management with , representing a fundamental shift from traditional ERP systems to a modular, composable architecture that integrates AI, data, and applications into a unified platform.  

Grounded in harmonized, semantically rich data, this architecture allows businesses to make sense of data that has traditionally been scattered across systems and trapped in silos, so AI has the comprehensive data it needs to quickly generate meaningful insights.

麻豆原创 Business Data Cloud (麻豆原创 BDC) with native integration of 麻豆原创 Databricks, serves as a data backbone for business AI. It seamlessly connects all 麻豆原创 data and third-party data and provides integrated governance to enable real-time AI-driven decision making. 聽

Companies do not lose precious time locating and preparing data for AI. AI systems work on trusted, contextualized data, not just generic data. This produces accurate, reliable, and actionable AI recommendations that enable organizations to scale AI innovation rapidly across business domains.聽

麻豆原创 BDC is the foundation for , 麻豆原创鈥檚 AI copilot that acts as an intelligent orchestrator across the entire business suite. 麻豆原创 BDC ensures that Joule has structured business context for natural language processing and that its outputs are accurate so that Joule can provide always-on assistance to break down silos between business operations.聽

For example, when a customer service or sales representative handles a complex order issue, Joule can: 

• Check real-time supply chain constraints

• Respond to RFPs faster
• Personalize the response by pulling in relevant customer history from
• Speed response with automated case routing and research

The results are faster resolutions, happier customers, empowered employees, and incredible business outcomes with less effort and overhead.

CX + AI + ERP = Real Results

Integrating CX AI with core ERP systems enables end-to-end process optimization that was previously impossible with fragmented systems. When CX systems connect natively to back-office systems, organizations gain:聽

• Real-time personalization powered by operational data
• Intelligent workflows that prioritize high-value customers
• Predictive insights that help teams act before issues arise

The numbers speak for themselves. According to an , customers using this approach reported these benefits:

• Up to 60% reduction in the number of issues service and support teams deal with due to fewer manual errors, automated self-service support functions, automated self-service, and AI chatbots
• 25% to 50% improvement in time to resolution for issues that did require service or support resources
• 25% to 70% improvement in productivity of digital marketing and customer operations teams
• 50% to 90% improvements in sales team productivity by offloading smaller transactional sales, faster quote generation, and streamlined order management
• 20% to 40% increase in productivity of business operations due to less time spent on invoices, payments, shipments, and returns and more informed decision-making

This is not just incremental change; it鈥檚 enterprise transformation, driven by customer needs and powered by AI.

The Future of Intelligent Enterprise Operations 

Embedded within a composable business suite represents a bright future that takes the possibility of AI and makes it a reality.聽

• Businesses can seamlessly orchestrate intelligence across all functions, delivering experiences that feel effortless to customers while optimizing operations behind the scenes.聽
• Artificial intelligence won鈥檛 just automate individual tasks, but also orchestrate entire business ecosystems to deliver superior outcomes.聽聽
• Maintaining enterprise-grade reliability and enabling modular innovation will allow organizations to adapt to changing market conditions while creating competitive advantages.聽

With the rise of AI, businesses face a pivotal moment in time. Taking advantage of all that technology has to offer demands more than point solutions and departmental optimizations; it requires unified platforms, complete clean underlying data, and a clear unified strategy.

Jessica Keehn is chief marketing officer of 麻豆原创 Customer聽Experience.

A trusted data foundation is critical in the age of AI. But in a , 55 percent cited poor data quality as their biggest challenge. And nearly half struggle to harmonize data across multiple ecosystems.

offers organizations a fully managed SaaS solution that unifies and governs 麻豆原创 data while seamlessly connects with third-party data. This data platform gives organizations the tools they need to make even more impactful decisions and insights across all lines of business.

After only eight months in the market, leading analyst firms have given 麻豆原创 Business Data Cloud high marks for its analytics and BI solutions, primarily .

麻豆原创 recognized as a Leader in the IDC MarketScape: Worldwide Business Intelligence and Analytics Platforms 2025 Vendor Assessment

IDC MarketScape provides in-depth quantitative and qualitative technology market assessments. The evaluation highlights the most influential factors for technology buyers that want to introduce, modernize, or replace business intelligence and analytics tools within their organization.

“Organizations are constantly striving to engage in data-driven decisions,” said Megha Kumar, research vice president, Analytics and AI, IDC. “This need for insights across the board puts pressure on data and analytics teams. This will result in organizations seeking capabilities around automation, GenAI, and agentic AI features within their business intelligence and analytics platform. It is also important that these insights are available in the flow of work to allow for improved collaboration and decision velocity.”

IDC MarketScape recognizes 麻豆原创 as a Leader for the following strengths:

• Focused on integrating data from 麻豆原创 and non-麻豆原创 sources and enabling customers to engage in analytics, planning, and AI in a single environment
• Solution designed to support both technical and nontechnical users, with self-service analytics, ad hoc data exploration, and embedded analytics experiences within business applications
• Features such as zero-copy data integration and focused on expanding the ecosystem beyond traditional 麻豆原创 data sources

Read an .

麻豆原创 named a Market Leader in BARC Score Enterprise BI & Analytics Platforms, 2025

The BARC Score report assesses solutions that fulfill a broad set of BI and analytics needs. BARC named 麻豆原创 a Market Leader, citing the following benefits:

• Integrated business-user-oriented solution for planning and analytics — with embedded functionality for augmented analytics and application design
• Smart features and natural language generation functions help users to dig deep into data sets quickly by surfacing trends and outliers automatically
• Exclusive connectivity, live access, embedded analytics, and prebuilt content available for 麻豆原创 sources and applications speed up implementation and help to gain insights from these systems
• Capabilities to govern master data and align KPIs across an organization
• Flexible options for product usage with multi-tenant or private tenant options for deployments in the public cloud on AWS, Azure, Alibaba, and GCP

Read .

This recognition from both the IDC MarketScape and BARC reinforces the pivotal role of 麻豆原创 Business Data Cloud in empowering organizations to become truly data-driven.

By providing a unified, intelligent, and scalable platform that fuels business AI, 麻豆原创 continues to set the standard for modern data and analytics, ensuring customers can derive trusted insights and drive decisive actions in an increasingly complex business landscape.

Dan Yu is chief marketing officer for 麻豆原创 Business Data Cloud at 麻豆原创.

To further empower partners to build AI-driven innovations and unlock new possibilities for customers, we are pleased to announce free access to 麻豆原创 Build test, demo, and development (TDD) licenses for all 麻豆原创 partners.

麻豆原创 Build offers partners a comprehensive suite of low-code, code-first, and generative AI tools to create custom Joule skills and agents, applications, automations, and digital workspaces. This new offering gives partners access to 麻豆原创 Build with included entitlements up to fair use limits, allowing ISVs to innovate at a low initial cost.

Partners can use 麻豆原创 Build to develop, test, and deploy applications and proofs of concept, making it easier to bring new solutions to market. These solutions can be sold on 麻豆原创 Store, expanding the reach to 麻豆原创鈥檚 global customer base.

Free TDD licenses for 麻豆原创 partners: what鈥檚 included

Here is what鈥檚 included — all available as of today:

• All 麻豆原创 Build capabilities (developer, base and premium user, runtime, including Joule Studio and ABAP Cloud)
• 麻豆原创 HANA Cloud, our multi-model database, which serves, among other capabilities, as an enabler for RAG applications and powerful persistency layer for 麻豆原创 Build projects
• Additional 麻豆原创 BTP services such as generative AI hub, logging services, cloud identity, and others

Furthermore, the 麻豆原创 Joule for Developers add-on continues to be free for customers and partners until further notice as part of a promotion.聽

Accelerating transformative AI innovation on 麻豆原创 Build

麻豆原创 Build makes it easier than ever for partners to develop and integrate AI into their applications. With a 麻豆原创 Build developer license, you can use Joule Studio to create and enhance Joule skills — all with intuitive drag-and-drop tools.

And, coming soon, agent builder in Joule Studio will let you design, build, and deploy your own custom AI agents. These agents will tap into the 麻豆原创 Knowledge Graph for rich business insights and the 麻豆原创 Business Data Cloud (麻豆原创 BDC) for seamless access to data across 麻豆原创 and non-麻豆原创 systems.

At the heart of it all is AI Foundation, your one-stop shop for AI. The powerful, easy-to-use platform brings together everything you need to build, extend, and scale AI solutions. With tools like generative AI Hub, partners have secure access to frontier large language models (LLMs), prompt management, and tools, such as data masking and more, that provide them with everything they need to innovate with confidence.

麻豆原创 Build: making it easier for partners to create intelligent applications

There is even more to look forward to as we continue to invest in new 麻豆原创 Build capabilities to help partners innovate and grow their market share.

In the second half of 2025, 麻豆原创 Build , enabling developers to connect with 麻豆原创 BDC data products. Coming in early 2026, partners will be able to use 麻豆原创 Build to create and data products that can be used with 麻豆原创 Business Data Cloud.

Unlock the full potential of 麻豆原创 Build: exclusive webinar and partner resources

To learn more, partners can on August 13, 2025. Partners can visit the for more information about 麻豆原创 Build capabilities and TDD license fair use limits.

Michael Ameling is president of 麻豆原创 Business Technology Platform and a member of the Extended Board of 麻豆原创 SE.
Karl Fahrbach is chief partner officer of 麻豆原创.

Research from multiple industry sources indicates that this isn鈥檛 just an emerging trend — the emphasis on consolidation is growing at an unrelenting pace.

According to ADAPT’s CIO Edge , a comprehensive study of more than 140 CIOs, are planning to consolidate their vendor landscape.

This trend is not just about making minor adjustments to meet market demands; a majority of organizations are targeting a , which represents a significant and fundamental shift in how enterprises approach their technology ecosystems.

The urgency for CIOs to transform their vendor landscape is palpable across all sectors and industries. A of more than 1,000 technology professionals revealed that 90 percent of IT professionals identified software consolidation as a priority, with 73 percent predicting their organizations will continue growing software investments while simultaneously consolidating vendors.

This paradox — expanding capabilities while reducing complexity — defines the modern CIO’s challenge.

The false promise of best-of-breed

This vendor consolidation trend contrasts with movements like the MACH alliance, which  promotes a pure 鈥渂est-of-breed” approach. While its underlying architectural approaches (Microservices, API-first, Cloud-native, Headless) are sound and arguably have become table stakes in the SaaS world, MACH created unexpected challenges for enterprises.

Initially lauded for its flexibility and agility, MACH ended up creating significant complexity 鈥� more than most enterprises can handle 鈥� at a time when they are looking for simplicity more than ever.

The economic reality is stark: fully MACH implementations usually upfront compared to a unified solution that is pre-configured. Companies must consider not only the purchasing of multiple services, but also the cost and time required for employee training and adoption. Running MACH architecture requires people with highly specialized skills in cloud infrastructure, APIs, microservices, and tools designed to streamline development of the user-facing part of a website or web application. The job market for that talent is uber-competitive, even in the age of AI, meaning you’ll need to have the resources to pay them well or else your competitors will.

The hidden costs of fragmentation

Research reveals several critical drawbacks to the fragmented fully best-of-breed  approach:

• Increased complexity: Managing hundreds of microservices becomes exponentially daunting and expensive rather quickly, with system issues potentially impacting multiple services simultaneously. The management and expertise required to oversee such architectures can be daunting 鈥� and expensive. Once system issues are discovered, they could impact numerous services, which requires deep knowledge coordinated across multiple areas of expertise for troubleshooting and debugging. This can make resolution complicated and cost prohibitive.
• Integration challenges: Trying to make connections between services and systems that were not designed to work together requires additional development expertise, which is expensive.聽 Incompatibilities between functions like search, customer service, catalog management, and OMS can lead to degraded customer experience and loss of loyalty.
• Security concerns: The beauty of MACH architecture is also the beast: all of the composable microservices, APIs, and cloud offerings represent security risks. Comprehensive security requires consistent implementation across all components, which can be challenging when using solutions from different vendors. Businesses must develop robust security frameworks and governance models to ensure protection across their entire MACH ecosystem.
• Vendor management complexity: Best-of-breed usually means working with dozens of vendors rather than a few, which can add vast complexity to development and customer support depending on the long-term viability of each vendor, which must provide critical functionality for services or tools that could be discontinued or significantly changed in the future.

The strategic advantage of unified platforms

As CIOs prioritize vendor consolidation, 麻豆原创’s approach to “Suite as a Service” or “best of breed as a suite” offers a pragmatic solution that addresses the fundamental challenges of fragmented architectures. Rather than forcing organizations to choose between flexibility and integration, the (麻豆原创 CX) portfolio provides both through a unified yet composable business suite that spans front and back-office operations, in conjunction with a pre-integrated and certified rich ISV ecosystem that allows businesses to compose with intention, wherever this makes sense business-wise.

The flywheel effect: applications, data, AI

The true power of consolidated platforms lies in what 麻豆原创 calls the “flywheel effect.鈥� In this model, applications generate data, data trains AI, and AI optimizes applications. This creates a virtuous cycle where:

• Better data feeds better AI
• Better AI feeds better applications
• Better applications generate better data

This integrated approach is only possible when organizations move beyond siloed point solutions to embrace unified platforms that can leverage the full spectrum of business data. Companies already invested in 麻豆原创 technologies have discovered that a to the data architecture that AI requires.

Quantified benefits: the economic case for consolidation

of 麻豆原创 CX solutions reveals compelling evidence for the vendor consolidation approach:

• Operational Efficiency Gains
  • Faster time to value: Organizations can fully connect and integrate their CX and ERP data in as few as six months
  • Reduced implementation time: Companies avoid roughly 25 to 50 percent of the time and effort required to build integrations from scratch
  • Improved productivity: Depending on job function, customers report 10 to 300 percent improvement in daily productivity
• Cost Optimization
  • Lower total solution costs: While individual solutions may appear cheaper, the holistic end-to-end solution approach is far more cost-effective
  • Reduced maintenance overhead: Organizations can eliminate up to 70 percent of the time required to manage and maintain systems
  • Resource optimization: Companies avoid having to grow teams by up to 2x to support custom development and integrations
• Strategic Advantages
  • Enhanced customer experience: Seamless connectivity between customer and operational data enables superior customer service
  • Faster innovation: End-to-end visibility enables quicker, more informed decisions leading to faster product launches
  • Reduced operational risk: Standard iFlows provide more reliable connections with fewer potential connectivity issues

The AI-driven imperative

AI is driving the consolidation trend as much as the need to reduce costs. AI models demand high-quality, accurate data to be useful. When — often the result of disconnected digital tools — AI efforts fall short of expectations or stall entirely.

麻豆原创’s unified approach addresses this challenge directly. By providing harmonized SLAs, UX, data models, and provisioning across the stack, along with embedded AI via 麻豆原创 Business AI and a unified and semantically rich data layer via 麻豆原创 Business Data Cloud, organizations can fully leverage AI capabilities across domains without the complexity of integrating multiple disparate systems.

The consolidation acceleration

The trend toward vendor consolidation is accelerating across multiple dimensions:

• Seventy-five percent of organizations pursued vendor consolidation in 2022, up from 29 percent in 2020, according to
• that by 2027, 70 percent of organizations will optimize cloud-native application vendors to a maximum of three
• For midsize companies, the average number of SaaS tools in the last two years

The path forward: strategic consolidation

The evidence is clear: 2025 marks a pivotal moment for CIOs. Organizations that embrace strategic vendor consolidation and choose unified platforms over fragmented point solutions will gain significant competitive advantages in operational efficiency, cost management, and AI readiness.

麻豆原创 CX represents the future of customer experience technology 鈥� not as a collection of disparate tools, but as a unified, intelligent platform that can adapt and evolve with business needs. As CIOs navigate the challenges of 2025, the choice between complexity and consolidation will define their success.

The question isn’t whether to consolidate; it’s whether to lead the trend or be left behind.

With 68 percent of CIOs already planning consolidation initiatives, organizations that act decisively on vendor consolidation will be best positioned to win when it comes to the future of enterprise technology.

Geert Leeman is chief revenue officer of 麻豆原创 Customer Experience.

麻豆原创’s commitment to investing in innovation is delivering growth and value to organizations across the region. Thousands of companies continue to place their trust in 麻豆原创 to propel their digital journeys, evident in the rising adoption 麻豆原创 Business Suite and 麻豆原创 Business AI, which are redefining how work is done and processes are streamlined. Businesses are increasingly implementing AI agents to automate complex tasks, freeing up valuable time and resources for innovation and growth.聽

Accompanying this transformative shift is the importance of鈥槎乖� Business Data Cloud, which integrates both 麻豆原创 and non-麻豆原创 data. This enhanced visibility and informed decision-making capability are crucial for driving effective business outcomes and maintaining a competitive edge. 

In the second quarter, organizations that selected 麻豆原创 Business Data Cloud include Acron Aviation, which also selected 麻豆原创 Business AI and 麻豆原创 Cloud ERP Private, Brown-Forman, and NEBCO, which also selected 麻豆原创 Cloud ERP.聽

Coming off our partnership announcements at 麻豆原创 Sapphire and Adobe Summit, in Q2 Adobe selected 麻豆原创 Signavio, 麻豆原创 Business Data Cloud, and expanded its WalkMe footprint for an enterprise-wide adoption.聽

Meanwhile, companies across the Americas are continually embracing RISE with 麻豆原创 Methodology, leveraging 麻豆原创 Cloud ERP Private to drive their digital transformations. Companies that embarked on this journey during the second quarter include:聽

• LEROY MERLIN Brasil, is the largest retail chain for home improvement, present in 14 states with 55 stores. The company is renowned for its significant investments in innovation and sustainability, and it stands as 麻豆原创’s largest retail customer in the country. To drive innovation, embrace AI, and build a resilient supply chain amid the fast-paced retail industry, LEROY MERLIN has migrated to 麻豆原创 Cloud ERP Private.聽聽
• Mannington Mills, a fifth-generation family-owned leading manufacturer of fine flooring, selected 麻豆原创 Cloud ERP Private, 麻豆原创 Business AI, and 麻豆原创 SuccessFactors to streamline business operations and further improve productivity.聽
• Iochpe-Maxion, a Brazilian multinational, is a global leader in automotive wheel production and a major manufacturer of automotive structural components in the Americas. With operations spanning Maxion Wheels and Maxion Structural Components in the automotive sector, and AmstedMaxion in the railway sector, the company produces around 50 million wheels annually. To boost its technological infrastructure and further streamline global operations, Iochpe-Maxion strategically migrated its existing 麻豆原创 S/4HANA to 麻豆原创 Cloud ERP Private聽聽
• Mega Alimentos, the prominent Mexican company with over three decades of experience in the candy, sauce, and chamoy industry, including its iconic brand “La Botanera,” has embarked on the path of RISE with 麻豆原创 with 麻豆原创 Cloud ERP Private as part of its commitment to digital transformation.聽
• Transpire Bio is a U.S.-based, clinical-stage biopharmaceutical company developing inhaled drug-device combination products for serious diseases where therapeutic options are significantly lacking. The company selected 麻豆原创 Cloud ERP Private to track its revenue, streamline operations, and prepare for growth as they bring their pipeline of inhaled therapies to market.聽

Other organizations that chose 麻豆原创 in the second quarter include Gardner White, which selected 麻豆原创 Cloud ERP and 麻豆原创 Business AI, and Delta, a leading global airline that served more than 200 million customers in 2024. The airline selected 麻豆原创 Supply Chain Management solutions to help boost logistics visibility, ensure better process controls, and effectively manage freight costs.聽聽

As we look ahead, we are committed to empowering our customers to achieve more than ever before. We鈥檙e continuing to invest in the innovations that will deliver growth, value, and success to our customers around the world.

Indeed, 麻豆原创 is helping businesses lead the way into the future.

Jan Gilg is CRO, president of 麻豆原创 Americas & Global Business Suite, and a member of the Extended Board of 麻豆原创 SE.

It鈥檚 the same story everywhere: Germany鈥檚 downtown shopping streets are struggling with high retail vacancy rates. Holstenstra脽e, one of the country鈥檚 oldest pedestrian shopping zones, is no exception. Here, in the heart of the Baltic Sea coast city of Kiel, capital of the state of Schleswig-Holstein, the store vacancy rate is 38.5%. In an effort to revive the city鈥檚 retail scene, its marketing department launched an innovative initiative known as Zukunftsraum (鈥渇uture space鈥�). In the brick-and-mortar shopping environment of a pop-up store, retailers can explore the opportunities that new technologies bring. 鈥淐ollecting data and using it effectively is central to gaining a better understanding of customer requirements and to unlocking new revenue streams,鈥� K盲the Fleischer says. As an interim manager for business development on the Kiel pilot project, she knows that data collected in stores is the key to more effective and personalized marketing.

Grasping the power of a new business model

Enter retail media, an opportunity for retailers to generate additional revenue and bolster their cash-strapped coffers by selling physical and digital advertising space. 鈥淢any retailers have not yet recognized the value that this new form of advertising can unlock,鈥� says Marlene Lohmann, head of Marketing Research at Germany鈥檚 EHI Retail Institute. , she reports that while some front-runners鈥攊ncluding leading German retailers REWE, Lidl, OBI, dm, and Douglas鈥攈ave adopted this new business model, the retail landscape as a whole has a lot of catching up to do. 鈥淩etail media is still very much in its infancy,鈥� she says.

Yet its potential for the sector is immense. And ultimately, it鈥檚 a win-win for everyone: retailers profit from new sources of revenue and manufacturers can target potential buyers with greater precision. Quoting a consumer study by Kantar, Dirk Sperrfechter, an expert at the market research firm, says: 鈥淐onsumers rate contextually relevant advertising at the point of sale as particularly authentic and helpful.鈥� The number of touchpoints, he adds, also plays a key role in how retail media advertising is perceived.

Retail media unlocks a multitude of benefits

Retailers should be using these findings to their advantage. And, indeed, more and more are doing so, at least online. Sponsored ads are everywhere these days鈥攊n web shops, on social media, and in online newsletters鈥攂ut they still leave much to be desired in terms of personalization. But the potential of in-store solutions such as screens and digital totems often remains untapped as well. This is probably partly because different sales channels are often poorly integrated, making it difficult to consolidate the first-party data they generate.

鈥淲hat retailers need most of all if they want to unlock the added value of retail media are powerful technologies for collecting, cleansing, and enriching customer data,鈥� Lohmann says. Ultimately, they need to be able to analyze their first-party data in detail and segment it. If they do not have reliable metrics at their fingertips, they will struggle to persuade interested manufacturers and brands of the potential of the advertising space they want to sell.

Smart technology and 麻豆原创 Business Data Cloud as enablers

This is where 麻豆原创 comes in. 鈥淥ur help retailers generate and provision relevant data about customer behavior, clearance sales, promotions, and prices,鈥� explains Stefan Binkowski, vice president, Retail & Wholesale Advisory, 麻豆原创 Deutschland. In the newly launched 麻豆原创 Business Data Cloud (麻豆原创 BDC) solution, retailers can consolidate data from manifold sources with ease. First presented at , 麻豆原创 BDC can integrate all 麻豆原创 and non-麻豆原创 business data and, in so doing, helps provide a foundation from which to get up and running with retail media.

麻豆原创 offers what enterprises need to build and implement a robust retail media strategy: for tracking customer frequency rates, interactions, and so on with ease; for gaining detailed insights into customer behavior, preferences, and needs; a data platform for collating all the relevant information; and, last but not least, an for planning and implementing targeted retail media campaigns. 鈥淕enerating added value from data is central to 麻豆原创鈥檚 strategy,鈥� Binkowski says. 鈥淥nce retailers recognize the value of their data, they can take full advantage of the untapped potential that retail media offers.鈥�

Retail media is one of the topics on the agenda for the German-speaking 麻豆原创 User Group鈥檚 retail conference (DSAG-Handelstagen) on July 1 and 2 in Osnabr眉ck, Germany. The event will look at the technological aspects of leveraging customer data and retail media in the industry, which smart technologies come into play, and how 麻豆原创 BDC can contribute to the success of this marketing concept. .

This also appeared on the German SAP News Center.

Over the past few years, we have continued to lead the way with groundbreaking advanced AI capabilities for the enterprise.

This year at 麻豆原创 Sapphire, we announced the latest innovations and highlighted the enormous momentum we are seeing with our customers and partners. We have delivered more than 230 AI scenarios.

By the end of 2025, 麻豆原创 Business AI will have more than 400 AI scenarios on top of its 1,600 Joule skills, delivering unparalleled business value to customers. This commitment has already led to 34,000 customers utilizing 麻豆原创 Business AI.

Innovation is at the heart of this growth, which is why 麻豆原创 continues to enhance our generative AI copilot Joule, Joule Agents, and our AI scenarios embedded across the portfolio — all built with AI Foundation on (麻豆原创 BTP), the technical backbone that powers Joule and Joule Agents.

We understand the importance of getting Joule and Joule Agents in the hands of our customers, especially in a competitive landscape where or that .

During 麻豆原创 Sapphire, we announced the latest 麻豆原创 Business AI innovations that make Joule more powerful and accessible. I wanted to share a few innovations below, but I encourage you to dive into all the incredible announcements 麻豆原创 made in the .

Joule: the new UI in the age of AI

Our UI has continuously evolved to meet the needs of 麻豆原创 customers. Now, 麻豆原创 Business AI with Joule and natural language redefines the end user鈥檚 experience.

Joule is solidifying its role as 麻豆原创’s new UI, transforming how customers work and interact with our software through natural language — whether on the web, mobile, or in different languages. This way, the end user can ask questions in natural language, and Joule does the hard work in the system to find information or answer.

Joule is already one click away in every 麻豆原创 application, but we also understand that customers store data across non-麻豆原创 systems, which should not prevent it from helping users. Joule cannot operate in a vacuum if it is going to offer real business value. That is why we are now expanding Joule to any application so that customers can access everything, everywhere, with the help of WalkMe.

Joule is breaking free to become omnipresent and accessible across non-麻豆原创 applications with the 麻豆原创 Joule action bar supercharged by WalkMe. This integration expands Joule’s reach beyond , so it is always right by our customers’ side, giving Joule the “eyes, legs, and arms” to see what customers see.

Joule can follow business users across 麻豆原创 and third-party systems, using context from active applications to connect data, surface insights, and streamline workflows.

No matter where our customers are, if they see information relevant to their business and want to know what it means in the context of 麻豆原创 data, all they need to do is click to get the right context from Joule. This overarching context across multiple applications means Joule can orchestrate workflows and data from any application and website.

Joule is always on and proactive, providing customers with recommendations and proactively letting them know when Joule Agents have completed a task or require feedback. Customers are also empowered to create custom Joule skills for any application. Joule skills can handle repetitive, rule-based tasks, alleviating routine activities like data entry, IT ticket raising, and PO creation. Custom skills can execute these tasks based on natural language conversations with users that are triggered contextually and through user intent. This simple access through Joule only further democratizes access to AI and 麻豆原创.

Answer engine with Perplexity

If Joule is everywhere, it should also be capable of answering everything. Joule already provides answers across our customers’ structured and unstructured data, from procurement or travel activities to policies.

At 麻豆原创 Sapphire, we elevated Joule again with help from 麻豆原创 Business Data Cloud and 麻豆原创 Knowledge Graph, and a new collaboration with , an industry-leading company in the field of unstructured data.

麻豆原创 and Perplexity, an AI-powered answer engine that provides accurate, trusted, and real-time answers to any question, are collaborating to extend 麻豆原创’s generative AI and search capabilities by bringing together the best of both worlds in unstructured and structured data. By integrating Perplexity’s ability to address questions accurately and transparently with 麻豆原创鈥檚 business answer capabilities, we are bringing both worlds together: the power of Joule to answer business questions, and the power of Perplexity to understand what鈥檚 happening in the world.

Together with 麻豆原创 Business Data Cloud, 麻豆原创 Knowledge Graph, and our integration with Perplexity, Joule can now seamlessly combine internal business data with real-world insights. Whether data is structured or unstructured, from systems or the broader web, Joule brings it all together, delivering intelligent answers in real time. .

Joule Agents: reason and act

Insight to action is a key principle of enterprise software. Businesses can access incredible insights by analyzing data, which they can use to arrive at conclusions before making a decision. Joule makes getting these insights through natural language simple. Now, Joule Agents can reason to fulfill the action part of the equation with other agents. This ability marks a paradigm shift in enterprise software that helps customers go from insight to action to reason and act with AI.

Joule Agents can reason and coordinate to autonomously execute tasks through multi-step, self-conceived workflows while always involving a human.

Envision an environmental health and safety agent assessing a new chemical entering a plant: This agent could ensure that inventory is not stored near reactive chemicals and then could consult with HR to verify that staff are qualified before recommending appropriate protective equipment. Additionally, the all-new accruals agent for finance reduces today鈥檚 manual work by 90 percent. This agent learns a customer’s accounting rules and then, using financial data, can propose the right accruals during financial close.

In this sense, as much as Joule is the new UI for AI, Joule Agents are reimagining the business process layer across 麻豆原创 Business Suite in an AI-native way. 

AI agent hub in 麻豆原创 LeanIX

As the number of agents across 麻豆原创 and third-party vendors grows, customers will need a way to discover agents and then govern and control what they do. This is precisely the role of the AI agent hub in 麻豆原创 LeanIX solutions: It offers a governance and control framework to manage all these agents.

Because 麻豆原创 LeanIX already knows our customers’ enterprise landscape, it can map every available AI agent to the business capability or process step it supports. This framework helps customers spot automation gaps and discover new AI agents to fill them. Tracking governance for each agent means customers can, for example, make sure agents meet ethical and compliance standards.

The AI agent hub in 麻豆原创 LeanIX will be generally available in the fourth quarter of 2025.

麻豆原创, NEURA Robotics, and NVIDIA

麻豆原创 announced a collaboration with NEURA Robotics and NVIDIA, unveiling a new era where 麻豆原创 Business AI moves to the physical world.

Through this collaboration, Joule Agents connect enterprise data and processes with NEURA鈥檚 advanced cognitive robots, ranging from mobile autonomous mobile robots (AMRs) to humanoids, empowering businesses to automate real-world tasks such as adaptive manufacturing, autonomous replenishment, compliance monitoring, and predictive maintenance. The Mega NVIDIA Omniverse Blueprint plays a crucial role, enabling enterprises to validate and optimize robotic fleets in digital twins before deploying them on the shop floor or in the warehouse, thus ensuring safety, efficiency, and rapid scaling.

AI Foundation: the AI operating system business AI

We knew from the outset that Joule and Joule Agents needed a strong operating system. That is what 麻豆原创’s on 麻豆原创 BTP, our operating system for AI, now offers customers. AI Foundation gives developers a centralized set of tools to build, extend, and run custom AI solutions and agents at scale, all accessible via one entry point. AI Foundation already had more than 90 capabilities, and at 麻豆原创 Sapphire, we introduced over 60 more, such as AI Agent runtime, a brand-new AI evaluation service.

AI Foundation accelerates AI development by bringing together 麻豆原创 Business AI solutions such as generative AI hub, Joule Studio, 麻豆原创 Document AI, and 麻豆原创 Knowledge Graph. Centralizing and simplifying AI operations also reduces the total cost of ownership.

麻豆原创 Knowledge Graph gives Joule and Joule Agents more accuracy and context. It grounds AI in a customer’s business context and exposes metadata that makes the relationships between information accessible. This way, for example, an agent working on a customer service ticket knows the relationships between products and purchase orders. Initial support for the and solutions is expected to be generally available by the third quarter of 2025.

Other 麻豆原创 Business AI solutions are also getting new enhancements. For example, Joule Studio, which helps developers create custom AI, will get a new skill builder capability to help developers create custom skills for Joule. We are also adding an agent builder capability that allows developers to create custom AI agents using low-code and no-code capabilities. General availability is planned for the third quarter and fourth quarter of 2025, respectively.

AI Foundation offers the latest AI models, including GPT-4.1, Claude 3.7 Sonnet, and, most recently, Gemini 2.5 Pro. Customers can select from a range of self-hosted models on 麻豆原创’s GPU infrastructure, such as Mistral AI, Cohere, or Meta model families for more sovereignty and control. Customers can also pick from best-in-class, industry-specific models created by our partners. One example is Deloitte, which brings its unique finance and tax experience to the AI Foundation with Zora AI.

Deloitte plans to integrate Zora AI with 麻豆原创 Business AI, enabling customers to create intelligent digital workforces powered by agentic AI. Using 麻豆原创 BTP, Zora AI offers a suite of preconfigured agents capable of autonomously performing complex business tasks with precision and speed. When paired with 麻豆原创’s robust enterprise capabilities, and enhanced by the data access in 麻豆原创 Business Data Cloud, Zora AI has the potential to transform how work gets done, helping customers unlock the full value of agentic AI. .

All these models deliver incredible results when the prompts are carefully designed. But herein lies a significant challenge: Once our customers are committed to a specific model, it can be difficult to change, as even subtle model updates can break carefully tuned prompts. That is why we worked hard to eliminate prompt engineering.

Prompt engineering is dead

Prompt engineering is dead; say hi to benchmark engineering. Prompt engineering requires customers to learn how to “talk” to the AI so it can effectively leverage its knowledge and capabilities to meet their specific needs. This process was manual and cost-intensive; above all else, it made it tedious and slow to change models.

I am excited to introduce 麻豆原创’s prompt optimizer, designed collaboratively with , a frontier AI lab renowned for its model-agnostic approach. Prompt optimizer is a capability of the generative AI hub in AI Foundation.

Switching models and optimizing prompts is time-consuming — it can take an organization days to migrate a single use case from one model to another — but it shouldn’t be. We wanted to tackle that challenge because customers need to be able to change models easily. Maybe a new model is better, more cost-effective, or unavailable in your country: Whatever the reason, switching models shouldn’t be difficult.

麻豆原创’s prompt optimizer automates this entire task. Selecting a new model automatically converts all existing prompts into optimized prompts for all the latest models using public benchmarks. This helps reduce the time needed to change models and optimizes them from days to only minutes of background processing.

The prompt optimizer now means 麻豆原创 customers can switch to the best available AI models for their specific use cases when they become available without any costly delays. It lays the groundwork for a multi-model future, where applications are decoupled from specific models and customers can utilize the most suitable model anytime.

We want organizations to seamlessly use AI capabilities without being locked into single-model dependencies, fostering flexibility and innovation in building AI solutions. A limited early access program is now available for , with general availability expected later this year.

麻豆原创 Document AI

These announcements, and many others, made at 麻豆原创 Sapphire in 2025 reaffirm our commitment to continually innovate and listen to feedback to meet our customers’ evolving needs. Take paperwork: Billions of documents are scanned into 麻豆原创 systems yearly. Extracting relevant information from documents manually is costly, error-prone, and inefficient. That is why I am excited to introduce , previously Document Information Extraction, which is natively integrated with 麻豆原创 applications.

麻豆原创 Document AI seamlessly processes, extracts, and understands structured and unstructured data from business documents while automating document processing. 麻豆原创 Document AI significantly reduces manual efforts and minimizes errors. Customers like Serax, a Belgian design brand, already use 麻豆原创 Document AI to reduce manual work by 33 percent.

麻豆原创 Document AI will build upon the well-established Document Information Extraction Base and Premium editions, preserving their proven capabilities while enhancing efficiency. In addition, later in 2025, we plan to introduce the Premium Plus edition to expand the product’s scope, ensuring smooth, out-of-the-box integration across the 麻豆原创 portfolio. For more details, read “.”

We continually strive to innovate our products; the same applies to 麻豆原创 Document AI. That’s why we introduced instant learning to enhance the out-of-the-box accuracy of 麻豆原创 Document AI in the pursuit of reaching 100 percent. Suppose 麻豆原创 Document AI extracts something incorrectly from a document due to improper formatting. In that case, customers simply need to log in and correct the error once for the system to learn and avoid making the same mistake again. Previously, this would have required time-consuming retraining with numerous documents. To see it in action in 麻豆原创 Document AI and 麻豆原创 Cloud ERP, watch .

Additional AI innovations with partners

• Cohere: 麻豆原创 is expanding its partnership with Cohere to bring secure, enterprise-grade generative AI models to the 麻豆原创 ecosystem, starting with Cohere’s  model and extending evaluations with the and models. These models are planned to be available alongside other leading AI models from 麻豆原创 and third parties in the generative AI hub in 麻豆原创 AI Core, with the intent to give customers more choice to build AI-powered solutions that meet their unique business needs.
• Vianai Systems, Inc.: Vianai鈥檚 hila is an innovative generative AI conversational analytics application designed to engage a series of line-of-business executives. It currently focuses on empowering the office of the CFO, enabling direct interrogation of transactional systems. Our collaboration with Vianai centers on exploring how hila could complement established platforms such as Joule and the just ask feature in 麻豆原创 Business Data Cloud by offering greater query precision and accuracy for non-麻豆原创 systems in the future. We are energized by the opportunity to push the boundaries of conversational analytics together. Stay tuned as we continue to uncover the transformative potential of these advancements. .
• AWS: 麻豆原创 and AWS have announced the launch of an AI co-innovation program to help partners create generative applications, providing customers with direct access to innovative solutions that address complex business, logistics, and supply chain challenges. The program includes a fund in the form of AWS and 麻豆原创 technical resources, expertise, and credits to help customers and partners leverage Amazon Bedrock through 麻豆原创 BTP to define, test, and deploy industry-specific generative AI solutions, such as forecasting and planning for severe weather impacts on operations or increasing precision in financial outlooks. The program underscores the companies鈥� shared vision to help customers develop and deploy practical, secure generative AI applications that solve critical business operations challenges. Learn more about the co-innovation here.

AI investments

The externally managed 麻豆原创.iO Fund has made an investment in Nova Intelligence. Nova Intelligence is building end-to-end AI coding agents that can parse and understand legacy custom ABAP 麻豆原创 code to modernize it into cloud-compliant applications. The AI agents iteratively test and refine the generated code until a successful outcome is achieved. Nova Intelligence is developing specialized AI agents to support the transformation of legacy custom code. .

New 麻豆原创 Business AI capabilities as part of the 麻豆原创 Sustainability portfolio

We鈥檙e introducing new AI capabilities in the 麻豆原创 Sustainability portfolio to help customers prepare data, automate processes, and enhance expertise. These innovations streamline environment, health, and safety (EHS) and product compliance processes and optimize risk and cost management while advancing sustainability goals. They will be available in beta in August 2025. New capabilities include:

• AI-assisted permit management in 麻豆原创 S/4HANA for EHS: Automates and simplifies permit handling, extracts key data, and proposes follow-up tasks
• AI-assisted safety observation reporting with Joule in 麻豆原创 S/4HANA for EHS: Enables seamless incident reporting through a conversational interface
• AI-assisted safety instruction generation in 麻豆原创 S/4HANA for EHS: Suggests safety instructions based on risk assessments
• AI-assisted compliance information processing in 麻豆原创 S/4HANA for product compliance: Automates data extraction and mapping from declarations and certificates

These capabilities will be available in the new Joule Premium for Supply Chain Management package, adding to existing AI features like:

• AI-assisted ESG report generation in 麻豆原创 Sustainability Control Tower
• AI-assisted emission factor mapping in 麻豆原创 Sustainability Footprint Management
• AI-assisted declaration image analysis for 麻豆原创 Green Token

Combining existing and new AI features, 麻豆原创 Business AI helps customers reduce costs, lower risks, and drive performance in reporting, carbon management, circularity, and compliance.

麻豆原创 Business AI in 2025

麻豆原创 Sapphire was an exciting time. We have announced many innovations that drive value for our customers; however, the rest of 2025 promises to deliver more. We will continue offering AI scenarios that help our customers, from new Joule Agents to building strong, open partnerships that realize value in this fast-paced AI era.

To learn more about how 麻豆原创 Business AI delivers innovations, watch the , read the , and visit the .

Philipp Herzig is CTO and chief AI officer and a member of the Extended Board of 麻豆原创 SE.

This milestone marks the first step in CAF鈥檚 digital transformation journey to a sustainable and efficient manufacturing process.

Moving from a heavily customized on-premises landscape to a standardized one in the cloud, Beasain, Spain-based CAF has smoothly integrated 麻豆原创 solutions into core business functions including master data management, record to report, source to pay, sales and transport, engineering to stock (including manufacturing) and workforce management.

鈥淐AF is now set for future success, as our new technology landscape allows us to better comply with business requirements in a complex and fast-changing market,鈥� said Guillermo Apell谩niz, CAF鈥檚 digital transformation director. 鈥淎dditionally, we鈥檙e now able to leverage other technologies or capabilities such as AI with a focus on company efficiency.鈥�

Continuing on its digital transformation journey, CAF is looking to enhance the integration of its data with the 麻豆原创 Business Data Cloud (麻豆原创 BDC) and 麻豆原创 Datasphere solutions. This will reduce time to market of analytical requests, enabling CAF to make data-driven decisions more efficiently. CAF will also tap into the 麻豆原创 Databricks capability in 麻豆原创 BDC to help it manage data from its various product lines of buses and trains. This will open new possibilities for integrating business and product data, with the potential to leverage artificial intelligence.

鈥溌槎乖� solutions are empowering CAF to focus on sustainability by manufacturing high-speed trains, commuter trains, metros and buses with low or zero emissions,鈥� said Jos茅 Vall茅s, managing director of 麻豆原创 Spain. 鈥淭he complexity of CAF鈥檚 projects and demanding supply chains require robust and flexible solutions, which 麻豆原创 is proud to provide.鈥�

Visit the . Get 麻豆原创 news via  and .

Media Contact:
Lesa Plingen, +49 622 776 9000, lesa.plingen@sap.com, CET
麻豆原创 麻豆原创 Room; press@sap.com

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2025 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

Recognizing the limitations of on-premises legacy systems, Amer Sports moved its Arc鈥檛eryx brand to the 麻豆原创 S/4HANA Cloud Private Edition, fashion and vertical business solution, establishing a scalable and future-ready digital core. Amer Sports wanted a solution that would offer cost predictability with a subscription model, regular technological upgrades and access to innovative technologies such as artificial intelligence, sustainability tracking and advanced analytics.

鈥溌槎乖� S/4HANA Cloud is the ideal entry point into our cloud enterprise resource planning era,鈥� said Stefan Schubert, senior vice president and CIO of group IT, Amer Sports. 鈥淢oving to the cloud is more than just upgrading our technology landscape. For us, moving to a clean, standardized ERP environment unlocks the potential of future innovations and enables our brands to innovate faster and operate with greater agility.鈥�

With operations in over 40 countries and more than 13,000 employees, Amer Sports is one of the first customers to implement the solution. As part of its broader transformation journey, the company already has kicked off the migration of its global system built on 麻豆原创 ERP Central Component and is actively working with 麻豆原创 on several AI use cases.

Additionally, Amer Sports is a beta client for the 麻豆原创 Business Data Cloud solution, providing feedback on the recently launched software-as-a-service solution that unifies and governs diverse 麻豆原创 data and smoothly connects with third-party data.

鈥淥perating in an industry where supply chain agility, data insights, security and business continuity are mission critical, we are proud to be partnering to provide these advanced capabilities,鈥� said Manos Raptopoulos, chief revenue officer for APAC, EMEA and MEE at 麻豆原创. 鈥淭his enables a global leader like Amer Sports to innovate faster, optimize its operations and deliver exceptional experiences to its vast community of athletes and outdoor adventurers.鈥�

Visit the . Get 麻豆原创 news via  and .

Media Contact:
Lesa Plingen, +49 622 776 9000, lesa.plingen@sap.com, CET
麻豆原创 麻豆原创 Room; press@sap.com

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2025 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

By embedding sustainability into core business applications, unifying fragmented data across the enterprise, and amplifying human expertise through AI, 麻豆原创 is transforming how organizations turn sustainability commitments into competitive advantage.

Across the C-suite, leaders face pressure to make good on their organizations鈥� sustainability commitments while ensuring these initiatives create tangible value for their specific business units and departmental operations.

COOs grapple with maintaining resilient supply chains while embedding sustainability metrics for better risk prediction. CFOs struggle to gain visibility into integrated financial and non-financial data needed to manage reporting and drive sustainable growth. CPOs seek transparency of suppliers鈥� sustainability footprints across the source-to-pay process, while CHROs work to engage talent with authentic sustainability performance. Meanwhile, CROs need verified sustainability data to build brand trust and enable green premium pricing, and CIOs face the complex challenge of integrating sustainability data while managing governance, cost, and AI-driven innovation.

What鈥檚 missing is not awareness, but actionable, decision-grade sustainability data worthy of sitting alongside financial and operational metrics. This is why we build sustainability directly into our applications, generating new, usable data at the source of business activity.

Organizations find themselves constrained by financial systems, inconsistent data, and business processes that were not designed to address sustainability鈥檚 multifaceted nature. By ensuring this sustainability data becomes part of customers鈥� larger data story and drives core processes, we overcome these constraints.

This isn鈥檛 a peripheral issue; sustainability now intersects every critical business function, and the thoughtful organization of sustainability data. Its application to business processes prepares organizations for their agentic AI future, where sustainability metrics contribute to broader business intelligence tools like margin optimization agents rather than being siloed in sustainability-only solutions.

In this environment, 麻豆原创 emerges as a strategic partner that combines sustainability data with business processes to drive real change. By harnessing the power of 麻豆原创 Business AI and 麻豆原创 Business Data Cloud, we translate intricate sustainability challenges into clear, executable strategies.

This week, we introduced a new evolutionary step of sustainability solutions that go beyond traditional software updates. These solutions are designed to bridge the critical gap between organizational ambition and tangible outcomes. We help businesses manage risk, ensure compliance, and unlock meaningful enterprise-wide value.

This is more than a technological upgrade; it’s a strategic framework for sustainable business innovation. And now, we’re translating that strategy into action, through AI-powered innovations that scale.

AI for sustainability at scale: New innovations for EHS and product compliance

Beginning in August 2025, new capabilities will be available in beta, embedded within key sustainability applications to help customers ready their data, automate processes, and amplify their expertise. These AI-driven innovations streamline operations across environmental, health and safety (EHS) and product compliance workflows, driving measurable and scalable impact.

Here鈥檚 a look at what鈥檚 coming:

• AI-assisted permit management in 麻豆原创 S/4HANA for EHS environment management simplifies and automates permit handling by capturing and extracting key data from permit documents and automatically proposing relevant follow-up tasks to ensure compliance.
• AI-assisted safety observation reporting with , 麻豆原创鈥檚 AI copilot, in , enables seamless, intuitive incident reporting through a conversational interface, reducing barriers to shop floor safety documentation.
• AI-assisted safety instruction generation in 麻豆原创 S/4HANA for EHS workplace safety suggests appropriate safety instructions based on risk assessments and job hazard analyses, supporting proactive and preventive measures.
• AI-assisted compliance information processing in 麻豆原创 S/4HANA for product compliance automates the extraction and mapping of critical data from declarations, certificates, and safety data sheets, improving accuracy and freeing teams from tedious manual work.

These features will be available in beta and will be part of the new , reflecting 麻豆原创鈥檚 commitment to delivering embedded, business-ready AI that drives real outcomes.

AI that鈥檚 already delivering value

麻豆原创 customers are already leveraging Business AI to supercharge their sustainability efforts, including:

• In , AI accelerates environmental, social, and governance (ESG) report generation with editable templates, generative text, and visualizations, freeing teams to focus on ESG execution, not formatting.
• In , AI automates emission factor mapping by intelligently matching products to thousands of lifecycle assessment database entries, complete with confidence scores.
• In , AI automatically validating and extracting data from International Sustainability and Carbon Certification (ISCC) PLUS supplier declarations, minimizing errors and increasing speed.

These intelligent capabilities help customers reduce costs, mitigate risk, and drive business performance across reporting, carbon management, circularity, and regulatory compliance.

What鈥檚 next: unlocking enterprise-wide sustainability insights

In the second half of 2025, 麻豆原创 will make 麻豆原创 Sustainability Control Tower available as an Intelligent Application within . This will unify sustainability data and business operations on a single platform, enabling consistent reporting, deeper insight, and smarter decision-making across the enterprise.

A technology preview of these solutions will be made available to selected customers before general availability.

One sustainability data model: From complexity to clarity

麻豆原创 is also introducing new sustainability data products throughout 2025 as part of our strategy to deliver hundreds of curated and governed datasets across . These data products, accessible via 麻豆原创 Business Data Cloud, will include:

• Structured emissions data (air, water, wastewater) from 麻豆原创 EHS Management and 麻豆原创 S/4HANA for product compliance
• Additional datasets from 麻豆原创 Sustainability Footprint Management

This unified sustainability data model will empower customers to strengthen compliance, simplify analytics, and scale sustainability programs with confidence and clarity.

Process intelligence meets sustainability intelligence

True progress does not just come from better data, it comes from better processes. That is why 麻豆原创 is embedding sustainability impact metrics into the starting in autumn 2025. These new capabilities will include:

• 麻豆原创 Signavio Value Accelerators: Pre-built process models and industry best practices tailored for regulatory-specific use cases
• 麻豆原创 Signavio Process Intelligence: Analytics tools that identify opportunities to optimize business processes and embed sustainability at scale

With these additions, customers can align process transformation efforts with environmental goals, helping close the gap between strategy and execution.

Your best, made real

With 麻豆原创, transforms from a compliance checklist into a lever for innovation, resilience, and growth. By embedding sustainability into applications, unifying data across the enterprise, and enabling intelligent automation through AI, we empower organizations to be sustainable while accelerating performance.

From frontline safety to carbon reporting, from real-time data to boardroom insights, this is what 鈥測our best, made real鈥� looks like.

Welcome to a new era of sustainable enterprise management, powered by 麻豆原创.

Sophia Mendelsohn is chief sustainability and commercial officer at 麻豆原创.
Gunther Rothermel is chief product officer for 麻豆原创 Sustainability.

With the evolving 麻豆原创 Services and Support portfolio, 麻豆原创 executives also showcased a new approach to engaging with customers. The message was clear: transformation is no longer optional 鈥� it鈥檚 survival.

Building on this theme, Thomas Saueressig, Member of the Executive Board of 麻豆原创 SE, Customer Services & Delivery, emphasized how 麻豆原创 stands by its customers as an indispensable partner in today鈥檚 volatile environment marked by shifting tariffs, global uncertainties, and an accelerating pace of change. 鈥淲e understand that our customers seek faster transformations, faster time to value, and increased agility,鈥� Saueressig said, adding that 麻豆原创 is committed to supporting them at every step of the way.

Using RISE with 麻豆原创, the company鈥檚 transformation-as-a-service offering, and the power of the Business Transformation Management portfolio, 麻豆原创 can already deliver up to 30 percent cost savings for its customers, and this is more important than ever when budgets are under pressure and organizations need to transform quickly. 鈥淏ut we don鈥檛 stop there,鈥� Saueressig said, announcing a further evolution of the RISE with 麻豆原创 Methodology, with updates to the discovery phase, a project workspace in 麻豆原创 Cloud ALM, as well as a new transformation preparation service, including tailored transformation road maps for 麻豆原创 customers.

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On stage, Mercedes-Benz CIO Katrin Lehmann shared how 麻豆原创 helped the automotive company tackle recent challenges such as moving to the cloud and exploring custom AI options like Mercedes-Benz Direct Chat to add value for customers. 鈥淢oving to RISE with 麻豆原创 means that we can accelerate processes and leverage innovation,鈥� she said. Currently, Mercedes-Benz is exploring Joule as part of its RISE with 麻豆原创 journey.

鈥淭his is the year when AI is becoming a reality for business,鈥� Saueressig chimed in, noting that customers aim to distinguish their strategies for leveraging AI to stand out in the market.

By combining advanced AI technologies with enterprise resource planning (ERP), companies can unlock substantial enterprise value. However, this can best be achieved with partners, said Saueressig who announced the launch of an AI co-innovation program with Amazon Web Services (AWS.) This program brings together experts from the two companies as well as dedicated technical resources and cloud credits to define, test, and deploy generative AI apps on 麻豆原创 Business Technology Platform (麻豆原创 BTP) to solve critical business challenges.

Focus on productivity, embrace AI

Saueressig then welcomed Jan Gilg, chief revenue officer and president of 麻豆原创 Americas and Global Business Suite and member of the Extended Board of 麻豆原创 SE, on stage. Gilg opened his remarks with a sobering statistic: during the rise of software as a service (SaaS), global business productivity grew just 1.5 percent since 2005, compared to the first wave of ERP from 1995-2005 when it grew by a more robust 2.6 percent. While the cloud has unlocked the ability to consume technology faster, systems have become larger and more complex. His conclusion? 鈥淢ore technology alone does not automatically mean better business outcomes.鈥� He went on to say that what customers need are 鈥渋ntegrated business processes, especially in an uncertain business environment.鈥�

In the era of agentic AI, establishing an integrated and harmonized enterprise foundation is essential, Gilg said. He described the reimagined 麻豆原创 Business Suite as data-driven and AI-powered, aimed at democratizing access to Business AI and said he is certain that this transformation can unlock a significant productivity boost.

Geoff Scott, CEO of the , joined the conversation, outlining the three top-of-mind topics among 麻豆原创 customers: global uncertainty, a return to simplicity, and productivity growth. Scott added that ASUG members are focusing on a pragmatic approach for scaling 麻豆原创 Business AI, emphasizing the importance of aligning AI initiatives with strategic business goals and validating them through pilot programs. He also emphasized the critical role of clean, integrated data and the power of collaboration and partnerships.

Grow resilience with the power of the public cloud

One of the most inspiring transformation stories during the keynote came from Jeff Suellentrop, CTO of , a metals and mining company that was on the brink of bankruptcy when Suellentrop joined. In a capital-intensive industry, Phoenix Global was growing fast and its legacy tech stack couldn鈥檛 keep up.

鈥淲e basically replaced every system in the company,鈥� Suellentrop shared. The company鈥檚 move to 麻豆原创鈥檚 public cloud offering, choosing the GROW with 麻豆原创 journey, allowed it to streamline operations, reduce inventory, and improve asset utilization and resulted in a financial turnaround. 鈥淲e have returned millions and millions of dollars back into the business,鈥� Suellentrop said.

Scaling a global snacking empire with 麻豆原创 Business Data Cloud

The final customer invited on stage was , the family-owned confectionery giant behind M&Ms, Snickers, and Milky Way. Will Beery, vice president and global CIO for Mars Snacking, and Praveen Moturu, global vice president of Digital Platforms at Mars Information Services, explained how the company uses 麻豆原创 Business Suite to support rapid growth and acquisitions. 鈥淲hen you think about our digital strategy and the architecture that needs to be there to enable these businesses, it has to be more global. It has to be more standard,鈥� Beery said.

Mars has adopted a three-tier ERP strategy to support its retail operations, acquisitions, and core business. The goal is harmonization and innovation focusing on simplifying and standardizing its IT landscape. Moturu told the audience that using 麻豆原创 technology, the company has been able to optimize workflows, reduce bottlenecks, and improve overall productivity and accuracy. Mars also opted for 麻豆原创 Business Data Cloud, which Moturu described as a long-awaited solution that brings consistency and efficiency.

Drawing on his own experience managing 麻豆原创 systems, Gilg said he understood of the challenges 麻豆原创 customers face, and underscored 麻豆原创’s shift toward being a more supportive, invested partner in customers’ transformation journeys and committed to delivering tangible outcomes, telling the customer audience, 鈥淚鈥檓 here to be your voice inside 麻豆原创 and to be with you for your entire customer value journey.鈥�

Back on stage, Saueressig explained how new updates to the integrated toolchain will help to unlock value from the 麻豆原创 solution faster, reduce the cost of transformation by up to 30 percent, increase business agility, and speed up continuous innovation.

Thanks to new offerings announced at 麻豆原创 Sapphire, he said the impact of the integrated toolchain will be even greater. These include:

• A new transition guidance 鈥� with Joule 鈥� to orchestrate all transformation-related assets, bringing together 麻豆原创 Signavio, 麻豆原创 LeanIX, 麻豆原创 Cloud ALM, and Joule for developers and consultants
• A centralized AI agent hub and governance in 麻豆原创 LeanIX that helps companies map AI agents to their business capabilities
• Boosting UX and adoption by WalkMe integration across 麻豆原创 Business Suite
• AI assistance for 麻豆原创 Signavio with AI-assisted transformation advisor, process conformance check, and process context analyzer

鈥淔undamentally, AI will be omnipresent across the entire toolchain,鈥� Saueressig  said. 鈥淲e will continue to work to drive down the cost and drive down the time to value for all of you.鈥� Additionally, he said, the company is completely overhauling the 麻豆原创 Services and Support Portfolio with three new success plans that build upon one another. Each includes enabling Joule for customers and supporting team ramp-up with learning journeys for 麻豆原创 Business AI. He also announced data services, a comprehensive offering for 麻豆原创 Business Data Cloud, which provides prescriptive guidance to customers from pre-sales to ongoing support, , starting with a free 麻豆原创 Business Data Cloud discovery workshop and assessment to get customers started on their data journey.

To wrap up, Saueressig stressed again 麻豆原创’s commitment to listening to customers and challenging itself to improve its support for customers every day. 鈥淲e鈥檒l ensure you can realize value from all the solutions mentioned today鈥� you have the power in your hands to transform today to be resilient tomorrow.鈥�

The innovations we unveiled represent a fundamental shift in how businesses can approach their operations in an increasingly complex global landscape. The positive energy from our customers and partners reinforces my belief that we鈥檙e on the right path with our AI-first, suite-first, network-centric strategy.

Unifying the supply chain ecosystem

The cornerstone of 麻豆原创鈥檚 latest offerings is the significant enhancement to the and solutions. These improvements create a more unified and intelligent ecosystem for supply chain management, addressing the multifaceted challenges businesses face today.

Key innovations strengthen end-to-end business processes in . The simple handover of complex product data — such as bill of materials, recipes, or material price estimations — streamline the transition from product development to production with . Additionally, the integration of service orders into enables advanced manufacturing processes for service and repair processes. Changes in production orders are seamlessly synchronized with the shop-floor execution for highly adaptive processes.

Launched in February, 麻豆原创 Business Suite is a comprehensive set of integrated solutions, combining cloud ERP, business applications, , and 鈥� powered by the . At Sapphire, 麻豆原创 introduced cloud suite packages designed to align with specific line-of-business needs. The 麻豆原创 Business Suite package for 麻豆原创 Supply Chain Management offers a comprehensive, AI-driven, and network-enabled solution to help customers integrate data, operational processes, and supply chain functions, delivering greater flexibility, transparency, and responsiveness while supporting sustainability initiatives and metrics.

The introduction of smart guided execution in 麻豆原创 Digital Manufacturing supports compliant manufacturing in life sciences, chemicals, and regulated fast-moving consumer goods businesses, through intelligent process guidance and a new electronic batch record system. This helps ensure traceability and compliance while reducing errors and improving overall production quality.

Customers in asset-intensive industries, such as utilities, travel and transportation, and energy and/or natural resources, benefit from advanced asset health monitoring capabilities in . 聽An enhanced management of time series data 聽and Internet of Things (IoT) device integration is enabled based on . This allows businesses to leverage real-time data for predictive maintenance and asset optimization, potentially reducing downtime and maintenance costs.

By introducing connected supply chain processes that bridge various 麻豆原创 applications and cloud ERP, 麻豆原创 is offering improved data flow, AI-driven insights, and end-to-end process optimization across supply chain and core business functions. This integration is not just about connecting the dots, but creating a seamless flow of information and actions that can transform business operations.

How Joule and agentic AI are revolutionizing supply chain management

Our commitment to AI-driven solutions was evident in several key innovations. 麻豆原创鈥檚 AI copilot, , is poised to transform supply chain operations. By the end of the year, Joule will enable supply chain planners — for example, demand or supply planners — to quickly and easily interpret supply planning results through intelligent analysis of demand, inventory, and supply planning in 麻豆原创 Integrated Business Planning. This capability will significantly enhance decision-making processes in supply chain planning.

Simultaneously, 麻豆原创鈥檚 expansion of agentic AI across 麻豆原创 Business Suite marks a significant leap toward autonomous supply chain operations.

Key agents announced include:

• Maintenance Planner Agent: Streamlines maintenance planning and coordination
• Shopfloor Supervisor Agent: Proactively manages shop-floor disruptions, such as machine failures, and performs necessary rescheduling to maintain productivity
• Field Service Dispatcher Agent: Autonomously schedules and optimizes service orders in 麻豆原创 Field Service Management

These agents, set for general availability in the fourth quarter of 2025, promise to transform planning into a proactive, continuous process by monitoring various data sources, surfacing relevant context, and recommending actions.

Enhanced 麻豆原创 Business Network capabilities for supply chain orchestration and sustainability

麻豆原创 announced significant enhancements to , the world鈥檚 largest B2B platform facilitating over US$6.3 trillion in annual commerce across 190 countries. These new capabilities are designed to revolutionize supply chain orchestration by providing unprecedented visibility, efficiency, and compliance in supply chain processes.

New improvements include more streamlined compliance and quality control for mass upload of certificate documents for suppliers and buyer-controlled document mandates for specific certifications.

To enhance supply chain efficiency and sustainability, new advanced logistics collaboration features offer enhanced greenhouse gas emissions tracking with actual transportation data integration and extended ocean freight support with new tendering and dispute handling functionalities.

Another key improvement focuses on enhanced asset management, with cloud-based ERP integration for better synchronization control, bi-directional integration of materials and models, and automated equipment creation through AAS file uploads and integration of quality inspection checklists.

All enhancements are scheduled to be available by the end of 2025, offering businesses across industries the opportunity to simplify tracking of critical certifications, improve compliance, reduce delays, and support regulatory adherence and sustainability goals across the supply chain.

By integrating actual transportation emissions data, businesses gain more accurate carbon footprint analysis, empowering them to better balance operational efficiency with environmental responsibility.

, with data federation, is planned to be available in Europe and KSA by the end of the third quarter of 2025. Additionally, , with data federation, is scheduled to be available in Europe and KSA by the end of the fourth quarter of 2025.

The road ahead

As we continue to roll out these new capabilities throughout 2025, I鈥檓 more convinced than ever of 麻豆原创鈥檚 commitment to ongoing innovation to drive value for our customers. In a world where global uncertainties, risks, and disruptions require a delicate balancing act between adaptability and productivity, 麻豆原创 Business Suite for supply chain management stands out. It leverages intelligence and all relevant internal and external data to provide the insights needed to make the right decisions, enabling business to adapt and thrive.

Our vision is clear: a future where supply chains are not just reactive systems but proactive, intelligent networks that can anticipate disruptions, optimize operations, and drive business growth.

I鈥檓 excited about the journey ahead and look forward to seeing how these innovations will transform businesses across industries.

For those who couldn鈥檛 join us at 麻豆原创 Sapphire, I encourage you to join us at , where we鈥檒l dive deeper into these innovations and showcase even more exciting developments in our innovation road map.

Dominik Metzger is president and chief product officer of 麻豆原创 Supply Chain Management.

In a kickoff keynote at the Orlando event, they unveiled a raft of new AI tools, business apps, and partnerships designed to help customers overcome these challenges, transform their operations, and 鈥渂ring out your best.鈥�

Uncertainty

鈥淎ll of us face one problem 鈥� every company, no matter which industry or geography. And that problem is uncertainty,鈥� said Klein. 鈥淯ncertainty about trade disruption, about new regulatory requirements, and about how AI will transform my business and impact my workforce.鈥�

麻豆原创 can鈥檛 take away macroeconomic uncertainty, he said, 鈥淏ut you have my commitment that we will help your business become more resilient and more agile 鈥� especially in times like these. We will help you bring out your best.鈥�

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Flywheel effect

麻豆原创 can do this by utilizing what Klein and other senior 麻豆原创 executives called the 鈥渇lywheel effect,鈥� explaining that in physics this is about bringing individual elements together to create new energy.

鈥淭he first element of the 麻豆原创 flywheel is our applications,鈥� Klein explained. 鈥淣ot only do we have the broadest application portfolio in our industry, we also run the most-mission critical business processes end-to-end. No one understands business and industry like 麻豆原创 does.鈥�

The second element of the flywheel is data. 鈥淭he apps give us the richest treasure of mission-critical business data, and no other tech company has more access to semantically rich business data,鈥� he said.

This data then feeds into the third element of the flywheel: AI. Having access to an enormous amount of business data is key to developing extremely powerful Business AI.

麻豆原创 Business Suite

鈥淭hen we make the flywheel spin by infusing AI back into the apps, which run your company,鈥� Klein said before introducing the first of several on-stage demos showing how a company can manage uncertainty like shifting tariffs with the power of 麻豆原创 Business Suite and AI.

Expanding the flywheel theme, Muhammad Alam, member of the Executive Board of 麻豆原创 SE leading 麻豆原创 Product and Engineering, noted that the demo highlighted how the flywheel of apps, data, and AI is critical to the company鈥檚 quest to reimagine business applications.

To achieve this, a company needs an application suite that is end-to-end and seamlessly integrated; a data layer that provides a harmonized data model with high-quality data, strong governance and a rich semantical context; and AI that is built on high-quality data and natively available in the apps used every day.

Alam noted that while the concept of the flywheel effect isn鈥檛 new and most company CIOs have been working hard to achieve it, they have been frustrated by the disparate and heterogeneous applications landscape often built up over time out of necessity.

Fragile balance

Most companies spend a significant amount of time and money integrating the apps they use together and extracting and bringing together disparate data sets. 鈥淚n fact,鈥� Alam said, 鈥淲e estimate that organizations can spend up to 80 percent of their effort and budget in putting together this fragile balance of apps and data, leaving only 20 percent of your resources to focus on value creation.鈥�

While this fragile balance has existed for a while, he explained that it breaks down completely in the age of AI, because to create exponential value you need to have your data available with the end-to-end business process context. 鈥淓nabling this in a disparate, disconnected landscape is close to impossible,鈥� he said.

The only real solution is to move to a best of breed as a suite, or what 麻豆原创 calls 鈥渟uite-as-a- service,鈥� Alam told the audience. 鈥淭he new SaaS is what will allow you to take advantage of the flywheel effect.鈥�

鈥淚n the age of AI, true differentiation will lie in how you create value from this end-to-end context for your organization,鈥� he said. 鈥淭his can only happen when you simplify and innovate your core, and not add another layer of complexity to your landscape.鈥�

This is what the 麻豆原创 Business Suite offers.

麻豆原创 Business Data Cloud

Klein and Alam also emphasized the importance of the launch of 麻豆原创 Business Data Cloud in February and its positive reception from customers and partners. Klein described it as 鈥渢he crystal ball we need in times of uncertainty, because it offers you the biggest semantical data layer in the industry harmonizing 麻豆原创 and non-麻豆原创 data.鈥�

Klein also announced the expansion of business data analysis capabilities in 麻豆原创 Business Data Cloud through a new partnership with Palantir, while Alam unveiled a new partnership with Adobe to develop an intelligent application on 麻豆原创 Business Data Cloud that combines 麻豆原创 Cloud ERP data with data in the Adobe Experience Platform.

To enhance the power of the flywheel, Klein and Philipp Herzig, CTO and chief AI officer of 麻豆原创, also made a series of AI-related announcements. 鈥淎t 麻豆原创, our goal is to make every end user 30 percent more productive,鈥� said Klein.

Joule

To achieve this goal, 麻豆原创 is enabling end users to use human language to interact with Joule, 麻豆原创鈥檚 generative AI copilot, as our new UX, he said. Joule will provide answers to any business questions they have, while in the backend, very smart Joule Agents will take over tasks from employees across end-to-end processes.

鈥淭oday we are proud to announce that we are making Joule available to you everywhere and giving you answers on everything,鈥� the 麻豆原创 CEO said. By combining Joule with WalkMe, the adoption platform acquired by 麻豆原创 last year, Joule becomes an omnipresent, always-on, proactive, and personalized AI assistant.

鈥淣o matter in which app the end user is working, 麻豆原创 or non-麻豆原创, Joule will be everywhere,鈥� Klein said.

In addition to making Joule available everywhere, 麻豆原创 is also enabling Joule to answer everything through a new partnership with Perplexity whose CEO, Aravind Srinivas, joined Klein onstage to demonstrate how Perplexity鈥檚 answer engine will integrate with 麻豆原创 data to provide trusted answers to everyday business questions.

Business AI

During his keynote section, Herzig highlighted the progress made with 麻豆原创 Business AI. 鈥淲e committed that 80 percent of our most-used transactions would be managed via Joule, and we have delivered more than 1,600 skills supporting a wide range of tasks across HR, finance, supply chain, and more out-of-the-box,鈥� he said. 鈥淲e also introduced Joule for developers and Joule for consultants, helping tens of thousands of people every day to achieve more.鈥�

Herzig said 麻豆原创 is on track to deliver more than 400 AI scenarios by the end of this year, and he is thrilled to see more than 34,000 customers are already using 麻豆原创 Business AI every day to transform the way they work.

For example, he shared that British Telecom is already saving 85 percent of the time it took to find the right skilled candidates for jobs with Joule, which is also helping employees to complete HR tasks in 40 percent less time.

鈥淥ur AI strategy is super simple, it鈥檚 really about three things,鈥� Herzig said. 鈥淛oule as the new UI in the age of AI, its Joule Agents to reimagine business processes and AI Foundation on 麻豆原创 BTP, which is becoming the operating system for AI.鈥�

Joule Agents

While Joule transforms the experience layer, Herzig said, Joule Agents are transforming the business process layer, 鈥渞eimagining business processes from the ground up.鈥� Instead of designing enterprise apps around the principle of 鈥渋nsight-to-action,鈥� Joule Agents streamline decision-making through reasoning and action.

鈥淲ith this, we are making a paradigm shift in enterprise software, going really from insight to action to reason and action with AI,鈥� Herzig said. 鈥淛oule Agents will take your business processes to a completely new level.鈥�  Soon, he said, companies will have a huge team of agents 鈥� Joule Agents, third-party agents, and custom agents built in Joule Studio 鈥� as part of their workforce.

To control and govern these agents, Herzig announced the launch of AI agent hub in 麻豆原创 LeanIX. 鈥溌槎乖� LeanIX already knows your business processes and enterprise application landscape, so it was just a logical step to expand the methodology to Joule Agents too,鈥� he said.

Among other innovations, Herzig announced that 麻豆原创 is introducing more than 60 new and updated capabilities into AI Foundation, including a prompt optimizer in AI Foundation developed in joint collaboration with Not Diamond, a frontier AI lab out of San Francisco. Prompt optimizerautomatically converts existing prompts to different models, and a futuristic new partnership with Neura Robotics and Nvidia is designed to blend digital and physical worlds and help empower humanoid robots to achieve business outcomes.

麻豆原创 runs 麻豆原创

Rounding out the kickoff keynote, Sebastian Steinhaeuser, chief operating officer and newest member of the Executive Board of 麻豆原创 SE, explained how the company has achieved considerable gains by running its own operations on 麻豆原创 using the combined power of apps, data, and AI.

鈥淲ith Joule, our developers, consultants, and HR are seeing strong efficiency benefits today. Across 麻豆原创, we track several hundreds of millions in AI-powered efficiency gains committed to our budget.鈥�

Steinhaeuser also discussed the benefits of 麻豆原创 Business Data Cloud, noting, “Earlier this year, we became customer zero of 麻豆原创 Business Data Cloud, offering us distinct advantages: First, we can connect all data in one semantically rich data layer. Second, this helps us generate better insights faster, and across our financial, workforce, and sales planning. And third, we can fuel even better Business AI.鈥� Next up, he said, we are excited to go live with the first set of intelligent applications, starting with People Intelligence.

Moving to 麻豆原创鈥檚 own app layer, Steinhaeuser shared more about 麻豆原创鈥檚 own RISE with 麻豆原创 journey. He also emphasized the importance of tools like 麻豆原创 Signavio and 麻豆原创 LeanIX in mapping process landscapes and enterprise architecture, for 麻豆原创’s own transformation journey. 鈥淢any of our meetings no longer start with PowerPoint, instead we use Signavio and LeanIX to discuss how we can improve our processes and architecture,鈥� he said.

Summary

Summing up the keynote messages, Christian Klein said: 鈥淭ogether we have seen how the 麻豆原创 Business Suite infused with Business AI can help you in times of uncertainty, and how we help you to get there faster, simpler, and at lower cost.鈥�

鈥淟et me finish this keynote with a personal commitment which is really dear to my heart: We will continue to listen to your needs, we will continue to deliver great innovations, and we will stay by your side along the entire journey 鈥� especially in times of uncertainty 鈥� so that you can run your business in sheer harmony.鈥�

We’re witnessing the rise of a new wave of intelligent applications reshaping how organizations operate, embedding real-time data and critical operational context with AI models to enable swift and thoughtful decisions. Unlike traditional software that is governed by rigid business rules, these modern applications can learn and adapt to rapidly evolving customer and market demands 鈥� detecting changes to optimize processes, anticipate needs, and collaborate with both human and artificial “thinkers” to create competitive advantage for an organization. 

Yet, we stand at the cusp of a bolder wave of innovation, one that unfortunately only the discerning few organizations may fully harness. Despite the vast potential of AI and cloud technologies, their true impact hinges on using these innovations with the secure and semantically rich data that is vastly available within an organization. 

Transform outcomes with intelligent applications

This year at 麻豆原创 Sapphire, we unveiled a significant expansion of 麻豆原创 Business Data Cloud to deliver on the promise of intelligent applications: prebuilt, composable applications that seamlessly integrate trusted data products, AI capabilities, and business simulations to serve the needs of every business leader.

These intelligent applications are not just analytics tools; they transcend traditional analytics by automating and orchestrating work across both analytical and transactional workflows, enabling customers to make decisions and execute actions within 麻豆原创 Business Data Cloud.

Today, we are introducing new intelligent application capabilities in 麻豆原创 Business Data Cloud, starting with People Intelligence, an offering grounded in workforce composition, skills, and compensation data products. Built on data from 麻豆原创 SuccessFactors software, People Intelligence provides HR and business leaders with AI-driven recommendations to optimize talent decisions, drive engagement, and ensure compliance. It features capabilities such as workforce composition insights, compensation insights, and skill insights, all available in the second half of 2025.

Additional intelligent application capabilities in 麻豆原创 Business Data Cloud that are entering technology preview include: 

• Cloud ERP Intelligence: Empowers leaders with transformative insights, business simulations, and AI capabilities to manage uncertainty, drive profitability, and meet sustainability goals. These capabilities include new data products from key business processes such as manufacturing (production execution, resource optimization, etc.), supply chain (inventory, deliveries. etc.), and contract accounting (payments, billing, etc.). 
• Customer Intelligence: Guide sales, service, marketing, and commerce teams with a 360-degree customer view to anticipate needs, improve targeting, and build a comprehensive customer profile.  
• Finance Intelligence: Provides CFOs and finance teams with real-time forecasting and planning, connected data across systems, and AI-powered anomaly detection. 
• Spend Intelligence: Delivers procurement and operations leaders real-time spend visibility to minimize supplier risk, flag spend outliers, and reduce costs.

Each intelligent application in 麻豆原创 Business Data Cloud is underpinned by curated, governed data products, sets of structured business data and metadata designed to accelerate use cases and reduce data integration overhead. And with 麻豆原创 Databricks natively available in 麻豆原创 Business Data Cloud, users can leverage 麻豆原创 data products with existing lakehouses with a zero-copy approach.

As part of these technology previews, we are also announcing the delivery of hundreds of new data products throughout 2025 across all 麻豆原创 Business Suite domains 鈥� from inventory optimization and delivery analysis to sustainability and compliance data products. The first wave includes new environmental, health, and safety (EHS) and product compliance datasets, with sustainability footprint data to follow later in the year. 

Amplify the value of AI with your most powerful data

In addition, 麻豆原创 Business Data Cloud is expanding its knowledge graph capabilities. Originally launched within 麻豆原创 Datasphere, the knowledge graph can now ingest and map metadata across 麻豆原创 and external sources, and seamlessly consume models published in 麻豆原创 Knowledge Graph on 麻豆原创 BTP. This creates a living model of how business data is structured and connected, providing a semantic backbone for AI to operate with higher precision.

Paired with Joule in 麻豆原创 Business Data Cloud, now generally available, users can engage with complex business data as naturally as they think, without the constraints of traditional technology. Joule unlocks the full richness of enterprise information, empowering people across the organization to navigate, reason, and act with intelligence grounded in real business context.

Open data ecosystem: Expanding intelligence beyond 麻豆原创

We are also making 麻豆原创 Business Data Cloud more accessible to power the next generation of intelligent, multi-cloud applications.

Starting in the second quarter, 麻豆原创 Business Data Cloud is available on AWS, with Google Cloud and Microsoft Azure expected to follow in the second half of 2025. This makes 麻豆原创鈥檚 data foundation more accessible and deployable within multi-cloud strategies, giving customers the flexibility to run intelligent workloads wherever they operate. 

At the same time, 麻豆原创 is actively collaborating with leading partners to build the next wave of intelligent applications.

• Accenture will release six intelligent applications addressing key challenges in supply chain, talent, finance, and procurement (GA timeline pending). 
• Adobe and 麻豆原创 are co-developing an application that fuses Adobe鈥檚 marketing data with 麻豆原创鈥檚 financial and supply chain data, enabling real-time alignment between demand signals and operational planning, expected in late 2025. 
• Palantir and 麻豆原创 are partnering to facilitate joint customers鈥� cloud migration journey and modernization programs. Seamless connectivity between Palantir and 麻豆原创 Business Data Cloud will enable customers to build a harmonized data foundation across their enterprise landscape. 麻豆原创 Business Data Cloud and Palantir Foundry and AIP will transform data silos into a trusted data foundation that enables human + AI teaming in the real world. Together the companies will responsibly deliver essential outcomes and support customers, including the U.S. government, to quickly adapt to changes and disruptions.
• Thomson Reuters will develop an intelligent application to help customers navigate the fast-moving challenges in the current global trade and tariffs environment, planned for end of 2025.
• Joint Collibra and 麻豆原创 Business Data Cloud customers can now run up to 10x more active data quality jobs in Collibra Data Quality & Observability when run on 麻豆原创 BDC data, at no additional cost. This limited time offer helps accelerate decision-making, strengthen compliance, and improve AI readiness, and is available until May 30, 2026.

The scope of partner collaboration also extends to data enrichment use cases. A new partnership with 惭辞辞诲测鈥檚 will let our joint customers blend 麻豆原创鈥檚 accounts receivable data with 惭辞辞诲测鈥檚 risk datasets to enhance cash flow forecasting, prioritize collections, and reduce exposure to bad debt. This solution is scheduled for general availability in the fourth quarter of 2025. 

We鈥檙e excited to partner with our customers and ecosystem to unlock a new generation of intelligent applications in 麻豆原创 Business Data Cloud, where trusted data, AI, and business context come together to drive meaningful change. The future of modern business will belong to those who turn intelligence into action.

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• featuring the latest on data products and intelligent applications in 麻豆原创 Business Data Cloud

Irfan Khan is president and chief product officer of Data and Analytics at 麻豆原创.

AI Innovations Aim to Boost Business Productivity by up to 30 Percent;
Partnerships with Perplexity and Palantir Bring out Customers鈥� Best

ORLANDO 鈥� At its annual 麻豆原创 Sapphire conference, (NYSE: 麻豆原创) unveiled innovations and partnerships that put the power of Business AI in every user鈥檚 hands, revolutionizing the way work gets done.

From a virtually omnipresent Joule assistant to an expanded network of Joule Agents that work across systems and lines of business, 麻豆原创 heralds a new era that democratizes access to Business AI and can drive productivity gains of up to 30 percent.

鈥溌槎乖� combines the world鈥檚 most powerful suite of business applications with uniquely rich data and the latest AI innovations to create a flywheel of customer value,鈥� said 麻豆原创 CEO Christian Klein. 鈥淲ith the expansion of Joule, our partnerships with leading AI pioneers, and advancements in 麻豆原创 Business Data Cloud, we鈥檙e delivering on the promise of Business AI as we drive digital transformations that help customers thrive in an increasingly unpredictable world.鈥�

AI that boosts productivity

麻豆原创鈥檚 generative AI assistant Joule can be everywhere you work, delivering personalized answers on everything you need to be more productive.

Joule can accompany business users throughout their day, in and out of the 麻豆原创 application universe, to find data, surface real-time insights and streamline workflows. Joule鈥檚 new ubiquity includes an action bar powered by WalkMe that studies user behavior across applications, turning the assistant into an always-available, proactive AI that can anticipate users鈥� needs before they arise — always adhering to .

A collaboration with Perplexity, an AI-powered answer engine company, enhances Joule鈥檚 ability to draw on structured and unstructured data to solve complex business problems. Powered by Perplexity and the 麻豆原创 Knowledge Graph, Joule now instantly answers questions with structured, visual answers — such as charts and graphs — grounded in real-time business data within 麻豆原创 workflows. For example, a user could ask the tool how recent external events might impact their business and get a forecast based on both current events and the company鈥檚 own business data.

麻豆原创 also unveiled an expanded library of Joule Agents that reimagine business processes and workflows from the ground up. Fueled by the world鈥檚 most powerful real-time business data and orchestrated by Joule, these AI agents work across systems and lines of business to anticipate, adapt and act autonomously so organizations can stay agile in a rapidly changing world. Partnering with industry leaders, 麻豆原创 offers an ecosystem of interoperable agents that can execute end-to-end processes. The new agents span customer experience, supply chain management, spend management, finance, and human capital management.

Finally, 麻豆原创 introduced an operating system for AI development that transforms how enterprises build, deploy and scale AI solutions. AI Foundation gives developers a single entry point for building, extending and running custom AI solutions at scale, making it the first real operating system for Business AI. A new prompt optimizer, designed collaboratively with the frontier AI lab Not Diamond, also helps developers create more effective AI prompts quickly, reducing work on complex use cases from days to minutes.

Data that drives smarter decisions

麻豆原创 also introduced new intelligent applications in 麻豆原创 Business Data Cloud, each built for a specific line of business. These applications can continuously learn, simulate outcomes and guide actions using business-critical data, detecting changes to optimize processes, anticipate needs, and collaborate with both human and artificial thinkers to drive meaningful impact. The People Intelligence application, for instance, optimizes team performance by transforming people and skills data into workforce insights and AI-driven recommendations.

Additionally, 麻豆原创 and Palantir are partnering to facilitate joint customers鈥� cloud migration journey and modernization programs. Seamless connectivity between Palantir and 麻豆原创 Business Data Cloud will enable customers to build a harmonized data foundation across their enterprise landscape. Together the companies will responsibly deliver essential outcomes and support customers, including the U.S. government, to quickly adapt to changes and disruptions.

Applications that accelerate cloud adoption

The company also announced 麻豆原创 Business Suite packages, which are designed for customers to simplify the adoption of 麻豆原创 cloud solutions that address their specific business challenges. 麻豆原创 Build is embedded in these packages, so organizations can customize applications to meet their unique needs.

Finally, 麻豆原创 unveiled a new solution that helps customers transition to the cloud faster. With Joule as the entry point and drawing on insights from 麻豆原创 solutions including 麻豆原创 Signavio and 麻豆原创 LeanIX, the solution delivers personalized guidance and actionable recommendations tailored to an organization鈥檚 transformation objectives and can help deliver up to 35 percent faster time to value.

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About 麻豆原创

As鈥痑 global leader in enterprise applications and business AI, 麻豆原创 (NYSE: 麻豆原创)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 麻豆原创鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit .

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In 2023, Google Cloud and 麻豆原创 established a strategic partnership, which continues to deliver significant value for enterprises seeking to maximize insights from their data. Building upon that foundation, the partnership is now evolving to focus on 麻豆原创 Business Data Cloud, a fully managed SaaS solution that unifies and governs all 麻豆原创 data and seamlessly connects with third-party data.

By connecting BigQuery, Google鈥檚 autonomous data to AI platform with agentic capabilities powered by Gemini, and , Google Cloud and 麻豆原创 aim to help enterprises of all sizes gain insights across their enterprise data landscape and unlock new generative AI capabilities.   

Strong analytics partnership foundation

麻豆原创 and Google Cloud have enabled integration between 麻豆原创 Datasphere and BigQuery, which remains a cornerstone of the evolution of the partnership with 麻豆原创 Business Data Cloud. The collaboration aims to help customers access BigQuery data in 麻豆原创 Business Data Cloud and vice versa. Expanding the two-way data federation capabilities first pioneered with 麻豆原创 Datasphere will enable customers to join diverse datasets and obtain deep comprehensive insights without building and managing complex ETL pipelines.

Our objective is to enable all enterprises to streamline data integration and data science, enhance their analytical workflows, and accelerate their transformation into an AI-driven enterprise. By using the combined strengths of Google Cloud and 麻豆原创, customers can gain faster, more accurate, and actionable insights, augmented by intelligent automation and novel content generation. 

Innovating with data unified across 麻豆原创 Business Data Cloud and BigQuery

A cornerstone of this collaboration is seamless connectivity between 麻豆原创 data solutions and Google Cloud鈥檚 powerful data platform. With the existing integration of 麻豆原创 Business Data Cloud and BigQuery, customers can facilitate business analysis across their entire data estates, providing enterprises the ability to unify 麻豆原创 and non-麻豆原创 data to create powerful insights and innovate faster with generative AI.

Key features include:

• Seamless data federation: Directly integrate enterprise data warehouse data in BigQuery with 麻豆原创 data in 麻豆原创 Datasphere. Federation from 麻豆原创 Datasphere to BigQuery is in preview, enabling similar integration into broader data strategies. 
• Efficient bi-directional replication: Smoothly replicate data between 麻豆原创 systems and BigQuery using replication flows from 麻豆原创, enhancing performance and mitigating query bottlenecks. 

麻豆原创 Business Data Cloud is planned to be available in three Google Cloud regions in Q2 2025, including India, Frankfurt, and Iowa, with more to follow over the coming year

Success stories: Realizing value today  

Joint Google Cloud and 麻豆原创 customers are already benefiting from the seamless integration between 麻豆原创 Datasphere and BigQuery.

Power International, a major consumer electronics company, leveraged the integrated solutions to help modernize its sales reporting process. Using 麻豆原创 Datasphere, BigQuery, and Dataform for sales pipeline automation, the company built a real-time sales reporting and analytical solution, which replaced static PDF reports. Power International now enjoys deeper, dynamic, and more actionable business insights, available on demand, which in turn drive improvements in sales performance. 

Driving future integration and innovation 

Building on the existing partnership between 麻豆原创 and Google Cloud and extending our collaboration in the context of 麻豆原创 Business Data Cloud will allow us to enrich analytics and AI capabilities for our joint customers. This approach will allow customers to tap into the comprehensive suite of 麻豆原创 data solutions and integrate with the extensive data sets in BigQuery whether they are private, shared, or public. 

Customers can also complement the AI capabilities available in 麻豆原创 Business Data Cloud with AI applications built on Google Cloud, powered by Google鈥檚 industry-leading Gemini model and third-party AI models available in Vertex AI. This initiative aims to provide pre-packaged, intelligent data products that accelerate time to value for common business scenarios, leveraging the strengths of both platforms. 

To learn more about the 麻豆原创 and Google Cloud partnership, visit booth 301 at 麻豆原创 Sapphire Orlando, taking place May 19-21, 2025.

Irfan Khan is president and chief product officer of Data and Analytics at 麻豆原创.
Andi Gutmans is vice president and general manager of Data Cloud at Google Cloud.