The approach enables the company to scale AI use cases across the business, accelerate decision-making and deliver measurable operational impact. By combining a governed data foundation with the Joule solution and this foundation, Ericsson is creating the enterprise architecture needed to make AI trusted, repeatable and scalable across its global operations.

Ericsson, which celebrates its 150th anniversary this year, provides mobile network infrastructure across 180 countries, with more than 40% of the world鈥檚 mobile traffic passing through its networks. As AI becomes central to both its technology road map and how it runs the business, Ericsson has prioritized building a strong, governed data foundation to support scalable and trusted AI.

鈥淥nce you scale AI, it stops being an AI problem鈥攁nd becomes a data problem,鈥� said Esra Kocat眉rk Norell, Vice President, Customer Experience, Enterprise IT at Ericsson. 鈥淭hat鈥檚 why we invested early in a business data fabric. With 麻豆原创 Business Data Cloud, we can define what data means once鈥攆rom revenue to market structures and access rules鈥攁nd apply it consistently across the enterprise. That鈥檚 what allows us to scale AI in a way that is trusted, repeatable and delivers real business value.鈥�

At the core of Ericsson鈥檚 approach is a federated data architecture that allows data to remain in place while centrally managing business semantics, governance and lifecycle policies. This reduces duplication, simplifies integration and ensures that consistent business definitions can be applied across both 麻豆原创 software and non-麻豆原创 environments.

By focusing on high-impact use cases and organizing around end-to-end business processes rather than isolated solutions, Ericsson has moved beyond pilot projects to scaled deployment. Today, more than 85,000 users are live on unified Joule, supported by strong executive sponsorship and governance.

Ericsson is advancing its transformation on two parallel fronts. The first is modernization, including its transition to the RISE with 麻豆原创 journey, the use of side-by-side extensions on 麻豆原创 Business Technology Platform and a clean core approach that enables faster innovation without disrupting its ERP backbone. The second is what the company defines as 鈥渋nnovate and transform,鈥� focused on unlocking tangible business value from data and AI to improve decision-making, increase efficiency and enable new forms of value creation.

麻豆原创 and Ericsson are also collaborating on AI co-innovation initiatives. One example is an intelligent goal recommendation capability developed within the 麻豆原创 SuccessFactors portfolio. The solution generates contextual, business-aligned goals for employees, improving execution and reducing administrative effort. The capability is now being scaled more broadly, demonstrating how co-innovation can create value beyond a single organization.

鈥淓ricsson鈥檚 approach shows how leading companies are moving from AI experimentation to execution by focusing on data, governance and business context,鈥� said Manos Raptopoulos, Global President Customer Success Europe, APAC, Middle East and Africa at 麻豆原创 SE. 鈥淭ogether, we are helping organizations unlock the full potential of AI at scale.鈥�

Looking ahead, Ericsson expects its business data fabric to support increasingly advanced AI scenarios, including automated decision-making, improved productivity and new digital business models, while continuing to strengthen customer experiences in a rapidly evolving telecom landscape.

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麻豆原创 麻豆原创 Room;听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.鈥� 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. 
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 objective of this collaboration is to digitalize procedures, improve efficiency and deliver better services to municipal employees and citizens in the areas of finance, revenue management and human resources.

The Madrid City Council has been working with 麻豆原创 software for two decades. It began in 2004 with the implementation of the first solutions in the areas of finance and HR, and in 2020 launched its public administration modernization project with the migration to the private cloud. This process is now advancing further with the adoption of the RISE with 麻豆原创 journey and 麻豆原创 Business Technology Platform (麻豆原创 BTP). The former is a comprehensive journey that combines the elements needed to migrate to the private cloud under a single contract: 麻豆原创 S/4HANA, infrastructure and managed services. The latter is the platform for integration, extension and application development.

A New Public Management Model

The adoption of these technologies represents a true revolution in the way municipal procedures are managed, from budgeting, execution and control of revenues and expenditures to the comprehensive management of human resources. This approach makes it possible to move beyond traditional models based on fragmented systems toward unified management with real-time information and digitalized processes.

The transformation has a particularly significant impact in the tax domain, as part of the project includes the integration of tax and revenue management solutions from 麻豆原创 into the city鈥檚 financial platform. This enables municipal revenues to be managed as a natural extension of the financial system, eliminating isolated developments and facilitating an end-to-end view of the full cycle, from taxpayer registration and assessment to collection and inspection. As a result, operational efficiency is improved while strengthening financial control and budget planning capabilities.

Currently, two-thirds of the City Council鈥檚 tax revenues are already managed within this environment, including Property Tax (IBI), the Urban Waste Tax for Business Activities (TRUA), Capital Gains Tax (IIVTNU) and the Terrace Tax (T2 2023). The next step will be to incorporate the Motor Vehicle Tax (IVTM) and the Economic Activities Tax (IAE).

The project has been developed using a phased methodology. During the first year, the City Council carried out a cleansing and harmonization of master data from its previous management systems (GIIM and +TIL), cross-checking identities with police databases, tax addresses with the Spanish Tax Agency (AEAT) and addresses with the municipal street registry. This process generated taxpayer 鈥淕olden Records鈥� and enabled, for example, an efficiency rate of 98.02% for Property Tax (IBI) in 2024. Data quality continues to be maintained for all new registrations.

According to Juan Corro, IT Manager of Madrid City Council (IAM), 鈥溌槎乖� technology offers us an extraordinary opportunity to accelerate our digital transformation and make the vision of a more efficient, innovative and citizen-centric local government a tangible reality. This project marks a paradigm shift: we are moving from managing paper files and isolated systems to managing information and processes in an integrated and intelligent way, with a 360-degree view. As a major capital city, Madrid has both the responsibility and the opportunity to position itself at the forefront of administrative modernization, serving as a benchmark for other municipalities.鈥�

Carlos Lacerda, Senior Vice President and Managing Director of 麻豆原创 Southern Europe, stated: 鈥溌槎乖� remains firmly committed to the Spanish public sector, which we have supported in its modernization processes for decades. This project is a benchmark for advanced digital administration and demonstrates how technology can act as a strategic enabler to simplify processes, integrate information and strengthen real-time data-driven decision-making, laying the foundation for a more agile, innovative and service-oriented public administration.鈥�

Benefits for the Administration and Citizens

The project is delivering benefits both in terms of internal efficiency and management, as well as citizen services:

• End-to-end process digitalization and a 鈥減aperless鈥� administration: The 鈥減aperless鈥� administration model has been consolidated, enabling the full digitalization of HR processes from start to finish. Requests are managed entirely through the municipal intranet. Internally, public employees can review and approve procedures with full traceability and in just a few steps, reducing processing times and errors caused by duplicate data. The result is a more agile, efficient and nearly 24/7 service that improves both the employee experience and citizen services.
• Operational efficiency and improved decision-making: Automation and AI capabilities integrated into the ERP system allow the City Council to significantly improve efficiency and productivity. Routine processes such as bank reconciliations and budget allocations are automated through rules and machine learning. In addition, the use of robotic process automation and services on 麻豆原创 BTP facilitates the automatic execution of repetitive tasks across systems. This reduces manual workload, minimizes errors and frees up time. Real-time analytics improve decision-making and, together with mobile and remote access to applications, enable more agile and flexible management.
• A more sustainable and efficient model: The implementation of RISE with 麻豆原创 enables the City Council to move toward a more sustainable and economically efficient IT model, based on subscription and pay-per-use principles. This approach reduces upfront investments, provides greater budget predictability and optimizes total cost of ownership. By scaling deployments according to municipal needs and paying only for required resources, the city improves responsible management of public funds while generating potential long-term savings.
• Greater adaptability and evolution: The City Council now has a flexible platform ready to evolve alongside technological, regulatory and social changes. The municipality will be able to align with national and European digital agendas, incorporate AI and advanced analytics capabilities, and evolve toward a smart administration model where data becomes a strategic enabler of better public policies.
• Continuous innovation: 麻豆原创 BTP is the innovation platform that integrates internal systems and third-party solutions, eliminating information silos. It also enables the rapid adoption of new technologies and responsiveness to changing needs and supports the City Council not only in modernizing processes but also in continuously evolving and launching innovative public administration initiatives.

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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.
漏 2026 麻豆原创 SE. All rights reserved.
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In an industry rapidly shifting toward AI-powered operations, Martur Fompak International saw an opportunity to reimagine its material flow through the strategic implementation of technology. Building on the efficient, people-driven processes it already had in place, the company partnered with 麻豆原创 and Humanoid鈥攁 UK-based robotics and AI company鈥攖o explore how integrating embodied AI鈥損owered robotics could redefine material flow across its automotive manufacturing environment. Using Joule and embodied AI capabilities from 麻豆原创, Martur Fompak International now connects production signals and business context directly to autonomous execution, creating a context-aware automation system that prioritizes, picks and delivers materials while adapting in real time to changing business conditions.

Built on 麻豆原创 S/4HANA and enabled by the 麻豆原创 Extended Warehouse Management application, the solution enriches humanoid robots with real-time knowledge of tasks, attributes and exception handling. Guided by material data, storage locations, sequencing and production priorities provided via embodied AI, humanoid robots execute material flows across a live automotive manufacturing environment鈥攊dentifying, transporting and delivering materials to the line while continuously confirming back into 麻豆原创 solutions. Together with autonomous mobile robots (AMRs), the company has created a fully automated, scalable material flow that boosts throughput, improves accuracy and reduces reliance on manual coordination. By assigning repetitive, non-value-adding and physically demanding tasks to robots, Martur Fompak International is enabling its people to focus on safer, more meaningful and higher-value work that drives productivity and innovation.

鈥淥ur humanoid robot collaborates with digital production systems to ensure seamless coordination across order management, logistics and production, enabling scalable AI adoption and improving efficiency, consistency and operational resilience,鈥� said 脰zlem Alt谋n谋艧谋k, Group Intelligent Technologies Director at Martur Fompak International. 鈥淭he deployment of our humanoid solution, powered by an embodied AI layer and enabled through the Joule Studio solution, proves that combining cognitive autonomy with physical automation can transform execution, accelerate decisions and scale intelligent enterprise capabilities across the organization.鈥�

鈥淢artur Fompak International exemplifies what it means to turn AI ambition into real business value on the shop floor,鈥� said Emmanuel Raptopoulos, Chief Revenue Officer, EMEA, MEE and APAC, 麻豆原创 SE. 鈥淏y embedding 麻豆原创 Business AI directly into their physical operations, they are not only boosting throughput and operational resilience鈥攖hey are setting a new standard for what an intelligent, AI-first factory looks like. This is exactly the kind of end-to-end transformation that defines the future of manufacturing. We are proud to congratulate Martur Fompak International on being named the sole winner in the AI Excellence category at the 2026 麻豆原创 Innovation Awards鈥攁 testament to their boldness in turning intelligent enterprise vision into real-world impact.鈥�

Early results show increased throughput, fewer errors and a scalable, AI-driven intralogistics model. A future target of up to five times greater work efficiency has been set for mass production, with work orders expected to be completed faster, more consistently and with greater precision across production flows. With 400 daily production line feeds and 100% 麻豆原创 software鈥揹riven decision making already in place, Martur Fompak International is advancing beyond traditional automation, pioneering a scalable, intelligent factory that represents a new standard for the automotive industry.

Looking ahead, Martur Fompak International plans to further expand its autonomous operations across additional production lines, leveraging 麻豆原创 Business Technology Platform to scale AI-driven workflows and integrations鈥攕upporting both operational efficiency goals and broader sustainability commitments.

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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 2025 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.

In his kickoff keynote at 麻豆原创 Sapphire Orlando, Florida, Klein and other 麻豆原创 Board members detailed how 麻豆原创 plans to bring agentic AI to the world’s most critical business workflows so that humans and AI can meet the accelerating demands of global business profitably, strategically, and safely.

鈥淭oday I鈥檓 super proud to launch our new 麻豆原创 Business AI Platform, which forms the basis for our vision of the future of business: the Autonomous Enterprise, where agents run the business and you can focus on what truly matters,鈥� Klein said.

Enterprise AI is at an inflection point, Klein told his 30,000-strong in-person and virtual keynote audience, and 麻豆原创 is in a unique position to deliver what customers need to turn their businesses into autonomous enterprises.

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The business AI imperative

Across industries, organizations are investing heavily in artificial intelligence, yet many still struggle to translate that investment into meaningful business value. At 麻豆原创 Sapphire, the message was clear: This isn鈥檛 a technology problem; it鈥檚 a context and execution problem.

While 80% accuracy may be sufficient for consumer AI applications, Klein said, 鈥淓ighty percent is just not good enough when you run the world鈥檚 most business-critical businesses. They [LLMs] should not guess; they should deliver accurate, compliant, and secure outcomes.鈥� 

Klein acknowledged that while adoption of AI has become near-universal, tangible business value remains elusive. Citing a recent Stanford AI survey, he noted that almost every company is now using AI, but seeing only limited return.

The reason, he argued, lies in a structural gap. Above the waterline of enterprise AI, LLMs continue to improve at tasks trained on publicly available data, while below it lies what enterprises truly need: AI that understands mission-critical business data, end-to-end processes, and operates within security, compliance, and governance frameworks.

ERP as the foundation for business AI

麻豆原创鈥檚 answer to this challenge begins with what Klein described as 鈥渢he brain of every company: its ERP system.鈥� For over 50 years, 麻豆原创 has had solutions with incredibly deep process and data domain know-how alongside the governance requirements, compliance controls, and company-specific configurations that define how businesses actually run.

Now, as part of the company鈥檚 new vision, 麻豆原创 plans to infuse this institutional knowledge into AI agents, enabling them to navigate thousands of business processes, select from more than 7 million data fields, and verify identity and access authorizations before returning any output.

鈥淲e鈥檙e bringing together LLMs with 50 years of business know-how stored in our ERP. But to do this, we had to do nothing less than completely reinvent our company,鈥� he told the audience. 鈥淭oday we are very excited to show you the new 麻豆原创 and our vision for the Autonomous Enterprise.鈥�

麻豆原创 Business AI Platform

To bring this vision to life, 麻豆原创 executives on stage announced a series of important innovations, beginning with the launch of the new 麻豆原创 Business AI Platform, a unified architecture bringing together 麻豆原创 Business Technology Platform, 麻豆原创 Business Data Cloud, and AI Foundation under a single roof.

鈥淭he heart of this new platform is the rich context layer,鈥� said Klein. 鈥淗ere, we infuse the deep ERP business domain know-how into the AI agents. Through our knowledge graphs, our AI agents have now a compass, a map, to find the right process and data in your ERP universe. And to provide the agents even more context, we are also introducing our new 麻豆原创 Domain Models. They have been trained on 麻豆原创’s code to even better understand the business logic of your company.鈥�

But, he said, 麻豆原创 is going further: 鈥淏ecause you run your business not only with 麻豆原创 solutions, our AI agents have to also understand non-麻豆原创 data. That’s why we included our 麻豆原创 Business Data Cloud in the context layer to build a single semantical data layer across 麻豆原创 and non-麻豆原创. No more silos, no spaghetti data sprawl鈥攂ecause no AI agent can compensate for a broken data model.鈥�

Echoing Klein, 麻豆原创 CTO Philipp Herzig, who presented the platform in detail, said it has been designed to close the agent adoption gap in the enterprise by delivering outcome, speed, enterprise-readiness, and context. 鈥淚t’s the place where you build, contextualize, reason, and govern AI,鈥� he said.

Herzig explained that the platform is structured around three layers: the context layer which Klein referenced, the build layer, and the governance layer. 鈥淎gents are only as powerful as the context they operate on,鈥� he said. 鈥淟acking context is the number one reason why enterprise AI projects fail to deliver value.鈥�

Within the build layer of the new platform, the new Joule Studio is designed to understand a company鈥檚 business challenges and enables the building of new AI agents quickly and easily.

The third tier is the governance layer, anchored by the new 麻豆原创 AI Agent Hub built on 麻豆原创 LeanIX. This provides a single command center to discover, manage, and govern all AI agents鈥斅槎乖� and non-麻豆原创. It will be generally available in Q3 and included in 麻豆原创 Business AI Platform at no additional charge.

Underscoring the changing AI marketplace, Herzig was joined on stage by KPMG Global Head of Advisory Rob Fisher, who told the audience: 鈥淲hat I鈥檓 hearing from clients is a clear shift; they鈥檙e moving from AI pilots to embedding integrated AI and agents into how work gets done. Where we see leaders really separating from the pack is in the execution and the organizational adaptability.鈥�

麻豆原创 Autonomous Suite

Building on the platform, 麻豆原创 Executive Board Member Muhammad Alam, 麻豆原创 Product & Engineering, announced the transformation of 麻豆原创鈥檚 SaaS application portfolio into the 麻豆原创 Autonomous Suite, described as the most significant evolution of 麻豆原创鈥檚 applications business in the company鈥檚 history.

The suite spans five domains: Autonomous Finance, Autonomous Spend, Autonomous Supply Chain Management, Autonomous HCM, and Autonomous CX, with more than 200 agents and over 50 assistants available in the coming months. Each assistant is mapped to core business roles and carries defined KPIs tracked through 麻豆原创 AI Agent Hub.

鈥溌槎乖� Autonomous Suite brings together the depth of our process expertise, semantically rich data, and built-in governance and compliance,鈥� said Alam. 鈥淭hese agents are designed with outcomes as a core objective. Each assistant has a defined set of ROI KPIs that you can expect it to deliver.鈥� 

鈥淯nderpinning the autonomous suite are out-of-the-box agents鈥攈undreds of agents cutting across all core business processes,鈥� he shared. 鈥淭hese agents come together into what we call assistants, or Joule Assistants. We’ve mapped these assistants to roles across the core processes of an organization, because we know that the first step 
in realizing value from AI is to empower your people to do more, do it better, or do things that just weren’t possible to be done before.鈥�

Turning to Joule itself, Muhammad said 麻豆原创 is fundamentally reimagining how users will interact with 麻豆原创 applications in the future.

鈥淲e call this Joule spaces and along with the familiar Joule conversations experience and Joule Studio 2.0, it is now part of what we call Joule Work,鈥� he explained.

鈥淛oule Work represents a massive step forward in super-charging the capabilities of Joule as we know it today,鈥� Alam said. 鈥淲ith Joule Work, we’re bringing a claw-based agentic harness to Joule along with computer and file access, better support for open standards such as MCP and A2A, access to a more complete knowledge base, and, of course, amazing visualizations on the fly.鈥�

Industry AI: H&M and Sector-Specific Transformation

During the keynote, 麻豆原创 Chief Operating Officer Sebastian Steinhaeuser introduced the Industry AI initiative, delivering AI-powered solutions built on decades of sector-specific expertise across 26 industries. In life sciences, he highlighted how 麻豆原创 customer Takeda is achieving up to 10% productivity gains, up to 25% reduction in revenue loss from stock-outs, and up to five percent reduction in safety stock through Autonomous Regulated Manufacturing.

He was also joined on stage by H&M Group CDIO Ellen Svanstr枚m, who discussed how the fashion retailer is embedding AI across its value chain. Built on RISE with 麻豆原创, 麻豆原创 Business Data Cloud, 麻豆原创 Commerce Cloud, and 麻豆原创 SuccessFactors solutions, H&M has developed a Store Intelligence Agent that processes real-time signals to generate actionable recommendations for store managers. Svanstrom also demonstrated the AI-powered InStore Concierge, a customer-facing agent that bridges digital and physical retail through personalized outfit recommendations and real-time availability.

RISE with 麻豆原创 and 麻豆原创 GROW: Path to the Autonomous Enterprise

Returning to the keynote stage, Klein emphasized that technology adoption alone does not create business value. Simply plugging AI agents into your system landscape will drive zero value, he said. 鈥淢oving to the Autonomous Enterprise requires serious change management. Adoption of AI goes hand-in-hand with business process change and end user enablement.鈥�

To support customers on this journey, 麻豆原创 announced a comprehensive reset of its RISE with 麻豆原创 and 麻豆原创 GROW offerings. RISE with 麻豆原创 customers will receive contractual commitment to activate three Joule Assistants within the first year, with the Max Success Plan extending adoption across the full enterprise.  

麻豆原创 GROW customers will receive more than 20 AI assistants from day one, with an AI-enabled toolchain designed to support go-live in weeks. New partnerships with Palantir and Accenture will support the most complex migration scenarios.

Closing: The Autonomous Enterprise

Klein closed the keynote by asking Joule to summarize the key takeaways and noting that 麻豆原创 is evolving from being a software company to becoming a business AI company.

鈥淲e showed how to turn the promise of business AI into reality with 麻豆原创 Business AI Platform, which provides the data processes and governance AI need to deliver accurate and secure outcomes at scale; we introduced the 麻豆原创 Autonomous Suite, where applications reason, decide, and act for you; and we showed how to manage change management with RISE with 麻豆原创. Together with customers and partners, we showed how 麻豆原创 is helping companies realize the vision of the Autonomous Enterprise.鈥�

鈥淲e鈥檝e been reinventing how businesses run for over 50 years, and now by infusing 麻豆原创鈥檚 ERP brain into the new 麻豆原创 Business AI Platform, we鈥檙e solving one of the biggest challenges businesses are facing today: how to turn AI into business value,鈥� he said. 鈥淚t鈥檚 the end of long negotiations, supply chain disruptions, financial blind spots, and the beginning of better: Welcome to the Autonomous Enterprise.鈥�

From application development to automation, integration, and now agentic AI, we have pushed forward so organizations can move faster, solve bigger challenges, and create with confidence.

At 麻豆原创 Sapphire, we鈥檙e taking a giant step forward in making that mission a reality.

I鈥檓 thrilled to announce Joule Studio, a bold new, fully managed offering that empowers enterprises to build and manage the full life cycle of AI agents, applications, and workflows. Joule Studio brings 麻豆原创 Business AI Platform to life, empowering organizations to build agents that are natively grounded in live business data, end-to-end processes, and rich business semantics that already exist across your 麻豆原创 landscape.

Let鈥檚 look at what users can accomplish with Joule Studio.

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Build faster with intent-based development

To connect business needs and technical execution, we鈥檝e placed intent-based development capabilities at the heart of the Joule Studio experience. Users can simply describe their goals in natural language, enabling anyone in the business to quickly create an automated solution or digital assistant.

When triggered, Joule Studio:

• Sets the business context for user鈥檚 request with 麻豆原创 Signavio Process Consultant Agent, 麻豆原创 Knowledge Graph, and 麻豆原创 Domain Models.
• Understands the customer landscape with 麻豆原创 LeanIX, including third-party solutions.
• Generates a complete, structured flow of artifacts, including a product requirements document that captures the business outcome, technical specifications with implementation-ready details, code scaffolding, test artifacts, and a live working preview.
• Creates a highly traceable flow from idea to implementation, ensuring a direct, seamless handoff from business users to developers. It fundamentally shifts enterprise agentic development from a slow, manual translation of requirements into a rapid, structured, and 麻豆原创-aligned workflow.

“Joule Studio generated an end-to-end solution in 10 to 15 minutes, replacing three to four days of manual development and coordination.”

Vanitha Ponnusamy, Sony

Develop agentic solutions your preferred way

Joule Studio pairs the simplicity of intent-based capabilities with unprecedented openness, providing developers with the freedom to create agentic solutions their way, using their preferred frameworks and tools without being locked into a single approach.

For example, developers can deepen and adapt Joule Studio-generated solutions using the tools and agentic IDEs they already know and love, such as Visual Studio Code, Cursor, and others. Additionally, Joule Studio offers new pro-code capabilities that support frameworks such as LangChain, Pydantic AI, and LlamaIndex, as well as an embedded n8n environment for visual multi-agent orchestration.

Harness best-in-class partnerships: n8n and Vercel

To build truly transformative AI solutions, developers need the freedom to use the tools they already love. That is why we are thrilled to announce new embedded partnerships with Vercel and n8n, giving Joule Studio users the ultimate flexibility to orchestrate complex workflows and build stunning user experiences鈥攁ll without sacrificing 麻豆原创鈥檚 enterprise-grade security and governance.

Vercel for blazing-fast, custom digital experiences

While 麻豆原创-oriented frameworks like UI5 and 麻豆原创 Fiori remain the gold standard for enterprise consistency, our new partnership with Vercel gives developers unparalleled choice for custom frontend design. By leveraging Vercel within the 麻豆原创 ecosystem, developers can rapidly build highly flexible, custom web interfaces for their AI agents using popular frameworks like Next.js. This enables teams to deliver lightning-fast, consumer-grade digital experiences that prioritize speed and custom design, while securely preserving 麻豆原创 enterprise controls.

n8n for visual workflow orchestration at enterprise scale

Creating intelligent agents is just the beginning; integrating them into end-to-end business processes is where the real value is unlocked. We are bringing an embedded, fully managed n8n environment directly into Joule Studio. By using n8n within Joule Studio, teams can visually orchestrate multi-agent systems and bring AI right into the process flows they are designed to support, ensuring agents act with perfect timing and context. Developers get the beloved n8n experience they already know, complemented by seamless access to 麻豆原创 systems, Joule Studio capabilities, and 麻豆原创-managed services for identity and operations. It is the ultimate combination for delivering powerful, enterprise-ready automations faster than ever.

Deploy enterprise-ready agents securely

Building powerful agents is only half the equation; realizing their full value comes from running them securely and reliably at enterprise scale. To help our customers do this, 麻豆原创 is introducing a managed Joule Studio runtime service that enables organizations to deploy agents, applications, and workflows in a secure, production-ready environment with zero infrastructure management required.

Joule Studio runtime does the heavy lifting for our customers by managing all the complex operational capabilities needed for enterprise scale; runtime configuration, cluster management, storage, and model access are delivered seamlessly out-of-the-box. Underpinning this runtime is also the NVIDIA OpenShell, which places each agent inside an isolated, sandboxed environment with configurable policies and guardrails 鈥� ensuring agents can operate autonomously while staying within defined boundaries and preventing unchecked access to sensitive enterprise systems.

This governed foundation provides IT teams with built-in observability and lifecycle management. With controlled deployments, standardized schema validation, and deep integration with 麻豆原创 Business Transformation Management solutions like 麻豆原创 Signavio and 麻豆原创 LeanIX as well as 麻豆原创 Cloud Application Lifecycle Management allow teams to monitor agent usage, costs, and business impact over time. It creates an always-on cycle of continuous improvement, where AI monitors performance, surfaces insights, and proposes the next round of fixes.

Agents deployed on Joule Studio runtime will be equipped with persistent, long-term memory powered by 麻豆原创 HANA Cloud, enabling them to retrieve user preferences and context across multiple sessions.

Bring agents into the flow of everyday work

Ultimately, the value of agentic AI is realized when people can effortlessly interact with it. With the new Joule Work engagement layer, we are bringing the apps, agents, and workflows your teams build directly into the flow of everyday work, providing a personalized, intent-based workspace that reduces context switching and accelerates task completion.

“Across 48 diverse scenarios, Joule Studio consistently delivered high-quality code, with only a handful of instances requiring minor refinements to reach full functionality.”

Suraj Gahalyan, Accenture

Joule Studio: 麻豆原创 Business AI Platform in action

Joule Studio is more than just a powerful development environment; it is the ultimate expression of the unified coming together. While the broader market struggles with disconnected point solutions that lack business context and keep AI stuck in endless pilot modes, 麻豆原创 Business AI Platform bridges every system, process, and decision to deliver true enterprise-wide value.

Joule Studio acts as the engine that brings the three foundational pillars of the 麻豆原创 Business AI Platform to life in one seamless workflow:

• Build: We are taking organizations from idea to enterprise impact by providing a unified workspace that enables the seamless creation of agents, applications, and workflows. Whether leveraging intent-based development or our embedded partnerships with n8n and Vercel, teams can turn ideas into solutions without operational overhead.
• Contextualize and reason: An agent is only as smart as the data it understands. Through deep integration with the 麻豆原创 Knowledge Graph, 麻豆原创 Business Data Cloud, and 麻豆原创 Domain Models, every solution built in Joule Studio is natively anchored in universal business context. This means agents reason over real, semantically rich business data, understanding relationships and process logic, for reliable performance from day one.
• Govern: Speed and control are no longer a tradeoff. By tapping into 麻豆原创 AI Agent Hub, fully managed Joule runtime, and solutions like 麻豆原创 Signavio and 麻豆原创 LeanIX, Joule Studio embeds enterprise-grade governance, observability, and lifecycle management directly into the development process.

By unifying these capabilities, Joule Studio allows your best people to do their best work. It eliminates integration complexity and fragmented security, empowering your organization to transition from isolated AI experiments into a secure, autonomous enterprise.

Get started today

Joule Studio is ushering in a new era of enterprise-grade agentic development. While the rest of the market struggles to bridge the gap between basic LLMs and real-world business execution, Joule Studio delivers a definitive advantage: agents, applications, and workflows that are natively grounded in 麻豆原创 live data, processes, and business semantics.

I am pleased to share that now through the end of 2026, 麻豆原创 customers and partners can receive free design-time access, including AI-assisted development capabilities under fair-use limits. This is your opportunity to redefine how your business operates and turn your existing 麻豆原创 landscape into an unparalleled AI engine. Equip your teams to build with speed and confidence today.

• Learn more at

We cannot wait to see the incredible agentic solutions your teams will bring to life!

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.

The company introduces a unified 麻豆原创 Business AI Platform, deepening partnerships with Anthropic, Amazon Web Services, Google Cloud, Microsoft, NVIDIA and Palantir

ORLANDO听鈥� At 麻豆原创 Sapphire in 2026, (NYSE: 麻豆原创) introduced the to help enhance the world’s most critical business workflows, so that humans and AI work together to meet the accelerating demands of global business profitably, strategically and safely.

鈥淔or the mission-critical processes of our customers, ‘almost right’ just isn鈥檛 good enough,鈥� said Christian Klein, CEO of 麻豆原创 SE. 鈥淏y uniting 麻豆原创 Business AI Platform with 麻豆原创 Autonomous Suite, we anchor AI agents in the business processes, data and governance so they can deliver accurate, compliant and secure outcomes, unlocking new sources of revenue and meaningful cost savings.鈥�

The Autonomous Enterprise includes a unified AI platform for building, contextualizing and governing agents, an autonomous suite that executes core business operations and a new user experience that redefines how people work with enterprise software.

Introducing 麻豆原创 Business AI Platform

麻豆原创 Business AI Platform is a new foundation for building and deploying enterprise AI grounded in real business context. 麻豆原创 Business AI Platform now unifies 麻豆原创 Business Technology Platform, 麻豆原创 Business Data Cloud and 麻豆原创 Business AI into a single, governed environment.

At its core is the 麻豆原创 Knowledge Graph solution, which gives AI agents a structured map of business entities, processes and relationships across a customer’s 麻豆原创 landscape. Joule Studio is 麻豆原创’s AI-first solution for building enterprise agents, applications and agentic workflows. Developers can build using the no-code, pro-code and AI frameworks of their choice on 麻豆原创-managed infrastructure that is secure, scalable and optimized for enterprise AI.

Deploying 麻豆原创 Autonomous Suite Across Every Business Function and Industry

Building on this foundation, 麻豆原创 also introduced 麻豆原创 Autonomous Suite, which enables 麻豆原创’s existing business applications with AI agents capable of running processes from start-to-finish.

The suite will deploy more than 50 domain-specific Joule Assistants across finance, supply chain, procurement, human capital management and customer experience. These assistants will automate end-to-end processes by orchestrating a subset of over 200 specialized agents to execute precise tasks. For example, the new Autonomous Close Assistant can compress the financial close process from weeks to days by automating journal entries, reconciliation and error resolution across the entire process.

麻豆原创 also launched Industry AI, expanding its deep industry portfolio through seven autonomous solutions that will enable start-to-finish industry processes and embed sector-specific process logic, data models and regulatory requirements. At 麻豆原创 Sapphire, 麻豆原创 showcased its work with European energy giant RWE to leverage Industry AI, helping reduce unplanned downtime across its offshore wind turbines. With 麻豆原创’s Autonomous Asset Management scenario, AI agents are designed to analyze data from thousands of past incidents, identify the likely root cause and generate pre-filled work orders with the right tools and proven fixes from other sites.

Designing the Autonomous User Experience

The company also revealed Joule Work, redefining how users engage with 麻豆原创 software. Instead of navigating individual applications and entering data across several screens, users will now interact primarily with Joule. By describing a desired business outcome, Joule will orchestrate the right combination of workflows, data and agents to get it done.

Joule Work goes beyond conversation, proactively surfacing relevant insights and automating routine tasks behind the scenes so work moves forward even when humans aren’t actively steering it. It will be available on desktop, mobile and voice across 麻豆原创 and non-麻豆原创 systems.

Accelerating the Customer Journey Toward Autonomy with 鈧�100 Million Infusion

麻豆原创 evolved its customer and partner programs to help accelerate the organization’s journey to the Autonomous Enterprise. To catalyze adoption, the company has launched a 鈧�100 million fund for 麻豆原创 partners to help customers deploy 麻豆原创-built AI assistants and agents. The fund is also available to partners that extend or build new partner agents on the new 麻豆原创 Business AI Platform using Joule Studio.

麻豆原创 has enhanced its RISE with 麻豆原创 and 麻豆原创 GROW offerings to accelerate AI adoption. Both include access to the Joule Assistants portfolio; RISE with 麻豆原创 customers will have three assistants activated within their first year, while 麻豆原创 GROW customers receive full portfolio access at onboarding. 麻豆原创 S/4HANA on-premises and 麻豆原创 ERP Central Component (麻豆原创 ECC) customers are not excluded: those that commit to transitioning the majority of their current landscape to 麻豆原创 Cloud ERP gain access to select AI scenarios, bridging the gap between their current landscape and their cloud destination

麻豆原创 also introduced new agent-led transformation tooling that can reduce ERP migration efforts by more than 35 percent, driving faster and more predictable projects by automating system analysis, code remediation, configuration and testing at scale.

Lastly, 麻豆原创 announced a full slate of strategic partnerships across each category:

• Platform and suite partnerships include Anthropic, with Claude among the foundation models 麻豆原创鈥檚 AI platform will leverage to power Joule agents across HR, procurement and supply chain; Amazon Web Services, bringing zero-copy data integration between 麻豆原创 Business Data Cloud and Amazon Athena; Google Cloud and Microsoft, enabling bidirectional agent-to-agent interoperability between Joule and external agent frameworks; Mistral AI and Cohere, delivering sovereign model options on 麻豆原创’s cloud infrastructure; , providing visual AI workflow orchestration inside Joule Studio; NVIDIA, whose OpenShell provides the trusted secure runtime for Joule Studio; and , bringing AI agents into 麻豆原创 Service Cloud to handle customer interactions with full access to business data and service processes.
• Implementation partnerships include Palantir and Accenture, partnering on complex data migration scenarios, and for AI-powered cloud ERP migrations.

.

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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鈥�.

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With the听听1H鈥�2026 release,听we鈥檙e听deepening those connections across the HR lifecycle. This release focuses on听four听core priorities:听connected,听suite-wide听AI; unified experiences that adapt to how organizations work;听processes designed for clarity, accuracy, and compliance; and stronger foundations for skills and long-term growth.听Together, these innovations help organizations听anticipate听needs earlier, reduce friction in daily work, and move forward with greater confidence.听

Connected AI that works across HCM

AI in HR delivers the greatest impact when it works continuously across the entire workforce lifecycle鈥攏ot as isolated features, but as connected capabilities that share context and insight.

The 1H鈥�2026 release expands听suite-wide听agentic AI听across 麻豆原创 SuccessFactors solutions, helping听employees听get clearer answers, act sooner, and keep听work moving听across roles and responsibilities.听A connected network of听听now supports areas such as recruiting, workforce administration, payroll, learning, performance, and talent development鈥攚orking together behind the scenes to help听anticipate听next steps and surface relevant guidance.

This release also introduces a growing听workforce knowledge network, bringing trusted external expertise and research directly into the flow of work through Joule.听Teams can now access expert-backed global employment guidance and听research-driven听insights without leaving their workflows鈥攕upporting听faster, more听confident decisions.

To听further听support learning in the flow of work,听intelligent Q&A in听听now helps employees find information more easily. AI听can deliver instant,听context-aware听responses drawn directly from an organization鈥檚 learning content,听along with relevant links and resources,听so employees can get answers quickly without searching through courses or documentation.听

Unified experiences that adapt to how work gets done听

As HR听tasks听become more embedded in听day-to-day work, experiences need to feel intuitive, connected, and responsive听wherever work happens. In the 1H 2026 release,听麻豆原创 SuccessFactors solutions continue to unify experiences across the suite, giving employees, managers, and HR teams what they need听in听the moment.听

• Connected recruiting and onboarding:听Native integration between听 solutions, , and听听can bring AI-enabled听recruiting, core HR, and onboarding together into a single, continuous experience, helping hiring teams move faster while听maintaining听consistency from candidate through new hire.听

• Tailored experiences,听built faster:听The new听extensibility wizard听can provide guided, step-by-step support for creating custom extensions on听听(麻豆原创 BTP) directly within听麻豆原创听SuccessFactors solutions, making it easier to adapt experiences to unique business needs while preserving governance.听
• Simpler, clearer employee moments:听A redesigned, configurable 401(k) experience听in听听for U.S.听employees helps simplify enrollment and management by clearly explaining employer contributions and guiding deferrals and beneficiary setup, helping employees make informed decisions with confidence.听

Processes designed for clarity, accuracy, and compliance听

In the 1H鈥�2026 release, 麻豆原创 SuccessFactors introduces new capabilities that help organizations bring greater clarity and rigor to pay practices.

With听pay听transparency insights听in the , organizations can analyze compensation patterns and potential pay gaps, supporting transparent, data-driven pay practices in-line with evolving regulatory expectations,听including in the EU.听

Skills governance听for sustainable growth听

Preparing for听what鈥檚听next requires trusted, consistent skills data that organizations can rely on across HR, talent, and workforce planning.

In the 1H鈥�2026 release,听we are听strengthening听the听听with enhanced听skills governance, providing a centralized interface to help manage skills, apply governance standards, and ensure alignment across 麻豆原创 SuccessFactors solutions and partner applications. This helps organizations improve听skills听data quality, maintain consistency at scale, and make more confident,听skills-based听decisions.听

A connected foundation for the future 

This听release听reinforces听麻豆原创鈥檚 continued focus on an intelligent, connected HCM听foundation鈥攐ne designed to evolve with your organization and support confident decisions at every stage of work. By bringing together data, AI, and experiences across the HR lifecycle, these听enhancements help organizations reduce friction today while听laying听the groundwork for听tomorrow.

To explore what鈥檚 included in this release, check out the or watch the overview .

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

ANYbotics, a Swiss robotics company, has stepped into this space with a vision to shape a safer future for industrial inspection, one where robots operate as autonomous members of the inspection team, running inspection operations integrated into plant maintenance workflows.听

This vision is embodied in the company鈥檚 鈥淎NYmal鈥�: a four-legged inspection robot designed specifically for heavy industry.

Unlike general-purpose robotics platforms, ANYmal is engineered to operate in 鈥渂ig, dirty, dusty, and dangerous鈥� environments, says Nicole Zingg, director of Technology Partnerships at ANYbotics. Places where stairs, corrosion, heat, and unreliable connectivity are the norm, not the exception.

But hardware, Zingg says, is only one part of the puzzle that makes ANYmal indispensable to customers.

Inspection robotics is about data

鈥淲e build a hardware platform,鈥� Zingg explains, 鈥渂ut inspection robotics is really about data that is consistent and trustworthy.鈥�

ANYmal autonomously navigates industrial sites to collect data that goes beyond what a human can collect alone. Beyond just visual inspection, its sensors also collect multi-modal data, including thermal imaging, ultrasonic leak detection, gas concentration detection, acoustic anomaly detection, and more. The observations are fed into what ANYbotics calls 鈥渋nspection intelligence,鈥� which transforms the collected data into actionable operational insights. The result is higher uptime, longer asset lifecycles, and, most importantly, safer working conditions for humans.

ANYmal can make a huge impact on operations. One offshore wind customer, Zingg says, has used ANYmal to manage all inspections and has eliminated the need to send personnel to a remote platform for months. When human intervention was eventually required, ANYmal鈥檚 data from prior inspections made all the difference. The customer already knew exactly what was wrong, which expert to send, and what equipment to bring鈥攁voiding costly and risky trial-and-error site visits.

Yet for ANYbotics, delivering insights is not enough if those insights are not integrated in the software systems customers use.

鈥溌槎乖� is where ANYbotics needs to be native鈥�

Through extensive user research, ANYbotics discovered that many plant operators, maintenance managers, and field service teams already run their daily operations in 麻豆原创. Work orders, asset histories, performance trends, and decisions all flow through 麻豆原创 systems. 鈥淚f customers are using 麻豆原创, 麻豆原创 is where ANYbotics needs to be native,鈥� Zingg says.

Meanwhile, 麻豆原创鈥檚 Project Embodied AI was looking for robotics companies to partner with. The project focuses on extending the impact of 麻豆原创 Business AI into physical operations by enabling robots to autonomously perform complex tasks with an understanding of the broader business context.

It was clearly a perfect fit and has delivered advantages for both companies.

On the system side, a continuous, unbroken digital thread connects ANYbotics insights from industrial inspections to data in 麻豆原创 systems, helping inform key business and operational decisions across the organization.

For end users, embedding ANYmal directly into familiar 麻豆原创 workflows can also help ease adoption, since introducing robotics into already stretched industrial workforces can trigger anxiety. Concerns about job security, workflow disruption, and complexity are common, but embedding ANYmal directly into familiar 麻豆原创 workflows can help reduce that friction, Zingg explains.

Treating robots as part of the workforce

The first major integration point was听. Rather than sending only human technicians, customers can now dispatch work orders directly to ANYmal as they would to any other field team member. The robot then autonomously executes inspection tasks, gathers data, and reports the results directly back into a company鈥檚 麻豆原创 system.

From there, the integration expanded into asset-related scenarios and is now moving toward broader enablement via 麻豆原创 Business Technology Platform (麻豆原创 BTP), with the goal of allowing robot-generated data to land wherever customers need it in their 麻豆原创 landscape.

The ambition is not to force humans to adapt to robots, but for robots to adapt to human workflows. 鈥淎NYmal has to put data in the 麻豆原创 system, just like human team members,鈥� Zingg notes. ANYmal becomes another worker in the same operational system of record.

Project Embodied AI in practice

This combination of ANYbotics robotic technology with 麻豆原创 bridges the gap between physical operations and enterprise applications and tangibly reflects the goal of Project Embodied AI.

On the 麻豆原创 side, AI agents operate on ANYmal鈥檚 robotic systems to execute physical tasks, such as safety inspections.

On the ANYbotics side, ANYmal is a physical object that moves through space, perceives its environment, and acts within real-world constraints. ANYmal uses 麻豆原创 historic and time-series data to inform decisions while at the same time remaining fully autonomous even in environments with no connectivity.

It鈥檚 important to note, Zingg stresses, that ANYbotics has control over ANYmal鈥檚 behavior and inspection execution, while 麻豆原创 has control over the business context such as work orders, asset data, or operational priorities. It is the 麻豆原创 business context that informs how ANYmal鈥檚 insights are consumed and acted upon while ANYbotics controls ANYmal鈥檚 physical interactions.

Scaling safely and responsibly

Today, more than 200 ANYmal robots are already in productive use worldwide, with inspection deployments in heavy-industry environments that would otherwise require constant human exposure.

Safety remains central to ANYbotics. Each deployment includes extensive testing and an on-site field engineer who helps ANYmal learn and validate its environment and trains customer teams on safe operational procedures. While ANYmal is built to work independently, humans remain firmly in the loop.

A glimpse into the future

As industries face labor shortages and aging workforces, undocumented expertise can all too often be lost. With autonomous inspection robots such as ANYmal, this knowledge is captured and turned into programs that can run day in and day out across multiple sites. The captured data flows into 麻豆原创 to become organizational intelligence that survives any workforce turnover.  

ANYbotics鈥� partnership with 麻豆原创 shows that this combination of robotics and enterprise software is moving swiftly from the experimental stage to real-world implementation.

In the future, industrial inspection will be powered by AI, not as disembodied dashboards or isolated machines, but as an integrated intelligent system where physical robots and digital workflows in 麻豆原创 systems operate as one.

In that future, robots like ANYmal are no longer novelties. They are coworkers, albeit mechanical four-legged ones, quietly extending human capability into places humans were never meant to go. These robots, together with 麻豆原创, are shaping for a future where dirty, dangerous, and dusty industrial inspections are being transformed into business insights.

Top image courtesy of ANYbotics

鈥淭here鈥檚 so much data; I would say in esports, too much data,鈥� said Thom Valks, partnerships manager at Team Liquid, referring to the 1 trillion points of data his company deals with. 鈥淗ow do you figure out what the right questions are to ask? And then how do you get quick answers to those questions? That was the main problem.鈥�

Founded more than two decades ago, Team Liquid has become a global powerhouse in professional gaming.

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鈥淲e鈥檙e the biggest esports organization in the world,鈥� Valks said. 鈥淕aming is a huge industry, a billion-dollar industry nowadays. And esports is at the tip of the pyramid. People come to watch with thousands in stadiums like normal sports. And we are the best team in the world at it.鈥�

Before partnering with 麻豆原创, Team Liquid relied on spreadsheets and manual analysis.

鈥淲e were doing everything in Excel and manually combing through the data, which turned out to be really not doable,鈥� Valks explained. In 2018, the team began working with 麻豆原创 Business Technology Platform (麻豆原创 BTP), connecting directly to game publishers鈥� APIs for League of Legends and Dota. This allowed analysts to build dashboards and streamline data processing.

The impact was immediate: 鈥淏efore we partnered with 麻豆原创, I think we had something like four or five analysts per game. If we can off source that to a tool and focus on really important data questions, that鈥檚 way more beneficial. And I would say the last year or so with AI, it鈥檚 really taken a next step.鈥�

Now, Team Liquid is taking its relationship with 麻豆原创 one step further by turning to Joule to sort through the data and make decisions even faster.

鈥淛oule has taken the data that we have in our database and you can now ask it: 鈥楩ind me the best hero to play against this team over the last six months.鈥� It will turn out an answer that actually makes sense. That’s revolutionary for us.鈥�

Looking ahead, Team Liquid hopes to expand access to Joule across the organization. 鈥淚f we can get Joule to everyone, it really innovates their gameplay,鈥� Valks said. 鈥淭hat鈥檚 something our competitors should be really afraid of.鈥�

Matt Dillman is a senior videographer at 麻豆原创.

Keeping FC Bayern at the top is no mean feat, and the action on the pitch is supported by a global administrative team of over 1,200, in addition to the thousands of operational staff who work to deliver a seamless experience to the fans who fill the Allianz Arena for each home match. The focus on match-day operations encompasses everything from security to ticketing to retail, as well as managing one of the largest parking garages in Europe, which accommodates up to 12,000 cars that must enter and exit within a few hours.

FC Bayern’s match-day operations generate a staggering volume of data, but capturing and making sense of every fan interaction鈥攂oth in the stadium and among the hundreds of millions tuning in worldwide鈥攚as becoming a herculean undertaking. Fan data was siloed in more than 50 legacy systems, creating a fragmented information landscape that hindered FC Bayern’s ability to understand and serve its legions of fans.

Thankfully, a club that has been in the business of winning for over a century is no stranger to innovation.

Game plan: data

, head of Development and Process for FC Bayern Munich, captured the club’s challenge in a nutshell: “Everything needs data.” Everyone from the firefighters and police who supported match days to the IT teams and retail staff “needed data, and everyone needed the same perspective on the data,” Winter explained.

But the club’s data was sprawled across dozens of siloed systems, each tied to different vendors and service providers. And when it came time to make crucial match-day decisions, team members had to rely on analog, piecemeal methods of sharing information鈥攐ften through SMS and radio. As a result, no one ever had the same information at the same time.

FC Bayern needed to harness its vast amount of information with a single, integrated system that provided a unified, 360-degree view.

From silos to a streamlined system

The storied sports club has enjoyed a partnership with 麻豆原创 dating back more than a quarter of a century. Therefore, (麻豆原创 BTP) was a natural fit for the next step in the club鈥檚 digital journey. The platform includes to help capture and combine data from disparate sources and systems, including both 麻豆原创 and non-麻豆原创 systems. This newly integrated data landscape provides a single source of truth across the organization, enabling real-time data analytics that not only streamline match-day operations and optimize the fan experience on-site but also provide invaluable insights to fuel long-term strategic planning.

For example, Winter explained, the club now has access to an up-to-the-minute, “high-level” overview of FC Bayern fans鈥�”how they behave, what they鈥檙e interested in, how old they are, whether they buy jerseys, whether they only go to soccer matches, whether they are already interested in basketball,” and more鈥攖hat has facilitated a much deeper understanding of fans, not only on the individual level but also across the entire fan base.

Forecasting the future

With a solid, integrated data foundation established, FC Bayern is looking ahead and will be adding AI to its technology line-up to maximize the value of its data across the organization, from amplifying process efficiency to developing robust, data-informed predictive capabilities.

For organizations looking to undertake their own digital transformations, Winter advised to not put the cart before the horse: “To use AI, you need to have good data.” And while Winter cautioned that every organization’s process is unique, he recommended listening as a good first step for everyone: “Talk to your users. What are their problems? What do they need to know? What processes are they trying to optimize?”

While the journey is not always easy, FC Bayern knows that winning is always worth the effort.

For the full FC Bayern Munich episode and the on-demand Better Together: Customer Conversations series, visit 

Timo Elliott is the vice president and global innovation advocate for 麻豆原创 BTP at 麻豆原创. 

Top photo courtesy of FC Bayern M眉nchen AG

We believe this recognition reflects our continued investment in a modern, scalable AI-ready integration platform that meets the needs of organizations operating across increasingly complex hybrid and multicloud landscapes.

Why orgnizations continue to choose 麻豆原创 Integration Suite

Part of 麻豆原创 Business Technology Platform (麻豆原创 BTP), 麻豆原创 Integration Suite brings together API management, event鈥慸riven architecture, process integration, and AI鈥慳ssisted development in one unified offering. It gives customers a reliable way to connect distributed systems, orchestrate workflows, and operate securely across hybrid and multi-cloud environments鈥攚hether those landscapes run primarily on 麻豆原创 solutions or a mix of third鈥憄arty applications.

By using metadata, events, and APIs as its backbone, the suite provides an integration foundation that supports AI agents and increasingly autonomous enterprise processes. Organizations in manufacturing, logistics, retail, and other highly regulated industries rely on this foundation to maintain performance and stay compliant at global scale.

Innovation that scales with your business

Over the past year, 麻豆原创 expanded its AI鈥慳ssisted capabilities to help customers move faster and operate with security and reliability. New AI-assisted features include anomaly detection, script optimization, traffic prediction, and integration鈥慺low generation. Combined with more than 4,000 prebuilt integration flows and over 250 connectors, organizations can accelerate design and reduce manual effort.

麻豆原创 Integration Suite now runs in more than 40 data centers worldwide, giving customers flexibility for in鈥憆egion processing and data鈥憇overeignty requirements. These enhancements help teams detect issues earlier, optimize performance, and shorten time鈥憈o鈥憊alue across complex hybrid landscapes.

Accelerating agentic AI adoption

Gebr.听Heinemann modernized its global retail checkout platform with 麻豆原创 Integration Suite and advanced event mesh, enabling the company to process 300,000 price鈥慶hange events in 30 minutes without system degradation.

“Advanced event mesh has completely changed the way integration and process orchestration run. Everything works better.”

Benedikt Althaus, team lead, Integration Services and Platform Solutions, Gebr. Heinemann SE & Co. KG.

Shimano Europe benefits from the efficient, scalable, and future鈥憄roof integration foundation of 麻豆原创 Integration Suite to accelerate its go鈥憈o鈥憁arket process. By streamlining integrations across systems, the company improves operational efficiency and enhances the overall customer experience through a more agile and reliable integration landscape.

“To accelerate the go-to-market process, we provided an effective and efficient integration platform with 麻豆原创 Integration Suite, a future-proof and scalable solution that improves our customers鈥� experiences.”

Fernanda Ribeiro, IT application architect, Shimano Europe

Siemens AG relies on 麻豆原创 Integration Suite to harmonize global reporting processes and ensure compliance with evolving regulatory requirements. By standardizing integrations across regions and supporting diverse country鈥憇pecific tax protocols, 麻豆原创 Integration Suite helps Siemens streamline compliance operations and maintain consistent reporting quality worldwide. This foundation strengthens Siemens鈥� ability to adapt to changing regulatory environments with greater confidence and efficiency.

“Managing international tax requirements is much easier. It will be implemented around the globe.”

Andrea Spandau, head of Digital Tax Ecosystem, Siemens AG

Looking ahead

We believe this year鈥檚 recognition underscores our commitment to advancing 麻豆原创 Integration Suite with deeper AI capabilities, more reusable business content, broader industry coverage, third-party adapters, and an improved developer experience. Our goal is to help customers automate more of their operations, innovate with confidence, and scale as their businesses evolve.

Learn more

Sid Misra is chief marketing officer for 麻豆原创 Business Technology Platform.

Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner鈥檚 business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates.

Over decades, our customers have built powerful digital foundations on 麻豆原创 to run end-to-end business processes across their enterprises鈥攐ften extending and customizing these systems to support their unique business needs. Now, many are entering the next phase of transformation: modernizing their 麻豆原创 landscapes to unlock the full potential of AI.

As companies move to cloud-based 麻豆原创 environments and clean-core architectures, they are preparing to embed intelligence directly into business processes. This enables new forms of automation, with AI agents that operate across enterprise systems and execute increasingly complex tasks.

Modernizing these systems while introducing AI at scale is a significant undertaking. It requires technologies that integrate with existing applications, operate reliably within mission-critical workflows, and meet the governance standards enterprises demand.

That鈥檚 why, over the past few years, we have partnered with to combine advanced AI technology with deep business context. Our goal is to help organizations accelerate modernization and apply AI across the applications and processes key to their success. This collaboration will be showcased at NVIDIA GTC.

Building the foundation for enterprise-grade AI

Through our collaboration with NVIDIA, we are accelerating the entire life cycle of enterprise AI鈥攆rom model development to high-performance runtime execution鈥攁nd powering AI scenarios across our portfolio. ,  which consists of open libraries such as and , helps accelerate large-scale model training across distributed RL environments. It enables teams to build and refine enterprise-grade AI models faster.

Models are hosted through  and , where our customers and partners leverage those best suited to their use cases. microservices optimize inference performance, and we have observed up to a 20% improvement compared to another popular open source serving engine. Enabled by NVIDIA GPUs and NVIDIA NIM, the increased performance allows organizations to combine advanced AI models with trusted 麻豆原创 business data and processes to ensure that AI operates within the workflows that drive business operations.

Modernizing the business logic that runs the enterprise

AI models trained on 麻豆原创 knowledge and accelerated using NVIDIA technologies are already helping customers tackle some of their most pressing modernization challenges. For example, evolving business logic embedded in the 麻豆原创 systems that run their operations.

For decades, organizations have extended 麻豆原创 applications with custom ABAP code that reflects how their businesses operate. That logic captures years of operational knowledge across finance, supply chain, service processes, and more. But modernizing these environments for the cloud and preparing them for the next generation of AI-driven innovation can be complex.

To help accelerate this journey, 麻豆原创 developed . a foundation model trained exclusively on real-world ABAP code and the business logic used across 麻豆原创 environments. The solution incorporates specialized models for code-related tasks, including StarCoder2 for code completion, and Codestral for deeper code understanding and explanations. These models are served through NVIDIA NIM microservices to deliver high-performance inference.

brings these capabilities into the developer experience, helping teams analyze existing ABAP code, understand how customizations interact with core business processes, and generate new code when needed. By making decades of embedded business logic easier to interpret and update, we help organizations accelerate modernization and preserves the knowledge that makes their operations unique.

Connecting AI to business operations

The collaboration between 麻豆原创 and NVIDIA also explores how AI can operate within enterprise workflows to help organizations apply intelligence across both physical operations and complex planning environments. One emerging area is embodied AI, in which intelligence extends beyond software systems into the physical world. By combining AI reasoning with sensors, robotics, and enterprise data, organizations can connect real-world observations directly with digital business processes.

For example, predictive maintenance alerts from can trigger robotic inspections that analyze equipment using thermal, visual, and acoustic signals. These signals are evaluated alongside asset histories and maintenance records to identify potential issues. then orchestrates follow-up actions through , prioritizing work orders and guiding technicians with the right operational context. By linking physical-world insights with enterprise workflows, organizations can turn physical-world signals into coordinated enterprise actions.

The same principle applies to complex planning environments. Supply chains today must manage a constantly shifting web of constraints, from supplier availability and transportation disruptions to evolving customer demands. With NVIDIA, we are exploring technologies, such as NVIDIA Metropolis and NVIDIA Cosmos, to bring the latest AI advancements into warehouse management, safety, and asset inspection.

Together, we are also bringing new capabilities to  that combine agent-based reasoning with the  GPU-accelerated optimization engine. This enables planners to simulate complex supply chain scenarios and evaluate alternatives with more speed and accuracy. By integrating advanced optimization with 麻豆原创鈥檚 supply chain planning capabilities, organizations can dynamically model constraints, adapt plans as conditions change, and make more confident decisions in increasingly complex environments.

Collaboration with large-scale 麻豆原创 customers helps identify real operational bottlenecks, paving the way for AI-driven solutions. . The Taiwan-based global electronics manufacturer and manufacturing solutions provider will work with 麻豆原创 to develop AI-powered innovations for manufacturing and supply chain operations.

By combining 麻豆原创鈥檚 enterprise applications and business context and Foxconn鈥檚 manufacturing expertise, organizations can enhance operational efficiency, increase resilience, and advance decision-making across complex production and supply networks.

Experience agentic AI at NVIDIA GTC

麻豆原创 is enabling Joule Agents across its application portfolio, helping organizations automate tasks and coordinate complex workflows within business processes. At NVIDIA GTC, visitors will see how these capabilities are extended using  on to build agents tailored to specific enterprise scenarios.

And because 麻豆原创鈥檚 AI architecture is model-agnostic, organizations can bring their own models into these workflows, in addition to those deployed through 麻豆原创 AI Core. The hands-on experience at NVIDIA GTC will demonstrate how organizations can build AI-driven workflows that operate directly within the enterprise systems that run their business.

It all happens at , taking place March 16-19, 2026. Join us to see how 麻豆原创 and NVIDIA are helping organizations modernize enterprise systems, accelerate AI adoption, and move toward the AI-native enterprise:

• Attend our session: on Tuesday, March 17, from 2:00-2:40 p.m.
• Visit the 麻豆原创 booth, #2001, to explore agentic AI in action, participate in hands-on vibe-coding with Joule Studio, and witness next-generation enterprise automation

.

Brenda Bown is chief marketing officer for 麻豆原创 Business AI.

I鈥檓 pleased to announce that next鈥慻en 麻豆原创 Ariba is now available, marking the next phase in 麻豆原创鈥檚 journey to reimagine source鈥憈o鈥憄ay for the age of AI. This milestone represents the transition from announcement to execution, bringing a fundamentally rebuilt platform into customers鈥� hands.

This milestone comes alongside strong industry recognition. 麻豆原创 has been named a Leader in the 2026 Gartner庐 Magic Quadrant™ for Source鈥憈o鈥慞ay Suites, an acknowledgment that aligns with the delivery of next-gen 麻豆原创 Ariba and our continued focus on platform modernization and AI鈥慸riven innovation at enterprise scale.

Why rebuilding the foundation matters

As procurement leaders know, AI鈥檚 potential is widely recognized, but its impact has often been uneven. Confidence is high, yet results depend on more than algorithms alone. AI only delivers value when it is supported by the right data, processes, and platform architecture. That belief shaped our decision to rebuild 麻豆原创 Ariba from the ground up.

Independent analyst firm as 鈥渁 complete reengineering of the largest and most entrenched source鈥憈o鈥憄ay platform in the world,鈥� emphasizing that this move goes far beyond adding AI features to legacy systems. Instead, it establishes the architectural foundation required for AI to operate reliably and at scale.

This aligns with what we consistently hear from customers that sustainable impact requires modernization at the core.

An AI鈥憂ative source-to-pay platform built on 麻豆原创 Business Technology Platform

Next鈥慻en 麻豆原创 Ariba is built on (麻豆原创 BTP), providing a unified, real鈥憈ime data foundation across the source鈥憈o鈥憄ay lifecycle. This shift enables tighter integration with , improved extensibility, and faster innovation delivery.

By moving to 麻豆原创 BTP, 麻豆原创 Ariba can support open APIs, cross鈥憇uite data consistency, and the responsiveness required for intelligent, AI鈥慸riven procurement operations鈥攃apabilities that are increasingly expected of leading source鈥憈o鈥憄ay platforms but are difficult to achieve on legacy architectures.

Current next鈥慻en capabilities will continue to be delivered incrementally throughout 2026 and into 2027, giving customers flexibility to adopt innovation at a pace that aligns with their business priorities.

Embedded intelligence with Joule: moving from insight to action

A defining element of next鈥慻en 麻豆原创 Ariba is the deep integration of directly into procurement workflows. Rather than treating AI as an optional add鈥憃n, next鈥慻en 麻豆原创 Ariba can embed intelligence where work happens鈥攕upporting faster, more informed decisions while reducing friction across everyday processes.

Early capabilities include:

• A Bid Analysis Agent, which can automatically evaluate complex bid scenarios, including total cost considerations
• AI-assisted contract support to help automate routine inquiries, generate summaries, and provide instant access to contract details

These capabilities reflect a broader shift from systems that require constant manual input to platforms that actively support outcomes.

A more unified, intuitive procurement experience

Next鈥慻en 麻豆原创 Ariba also addresses long鈥憇tanding fragmentation across the source鈥憈o鈥憄ay lifecycle.

Key improvements include:

• 麻豆原创 Ariba Intake Management, now globally available, providing a single entry point for procurement requests
• A simplified 麻豆原创 Fiori鈥慴ased user experience, delivered through a central launchpad
• A modernized contract lifecycle, supported through integration with Icertis Contract Intelligence

Together, these improvements are designed to make procurement easier to engage with while working to ensure processes remain connected, compliant, and intelligent behind the scenes.

What this means for customers

For existing 麻豆原创 Ariba customers, next鈥慻en 麻豆原创 Ariba provides choice and continuity. Customers can:

• Transition to next鈥慻en 麻豆原创 Ariba on a voluntary basis.
• Access next鈥慻en capabilities without commercial implications.
• Run current and next鈥慻en environments in parallel during an active transition, reducing risk and disruption.

麻豆原创 is providing tools, services, and advance timelines to support a managed transition, allowing organizations to move forward with confidence rather than urgency.

The foundation for what comes next

Next鈥慻en 麻豆原创 Ariba is not an endpoint, it is the foundation for the future of procurement.

With an AI鈥憂ative architecture, embedded agentic intelligence, and a unified user experience, this new generation of 麻豆原创 Ariba helps organizations move beyond transactional efficiency toward smarter decisions, greater resilience, and measurable business outcomes.

As Ardent Partners observed, this rebuild has the potential to act as a catalyst鈥攏ot just for 麻豆原创 Ariba customers, but for the broader procurement technology landscape. By combining scale, data, and AI in a fundamentally new way, next鈥慻en 麻豆原创 Ariba is helping define what modern source鈥憈o鈥憄ay platforms can deliver.

With the solution now available, we look forward to partnering with customers as they move from vision to value. Together, we can shape the future of intelligent procurement.

Baber Farooq is senior vice president of Product Marketing for 麻豆原创 Ariba and 麻豆原创 Fieldglass.

From energy sharing and dynamic pricing to cloud-native and interoperable flexibility markets, the solution can connect meters, markets, and customers to enable business models such as energy communities, virtual power plants, and demand response. Combined with a curated ecosystem of specialist technology partners, 麻豆原创 empowers utilities to own their energy transition.听

The energy transition runs on data, but data is getting harder to manage 

The energy transition is reshaping the power landscape. Utilities are evolving from centralized generation toward systems powered by millions of distributed energy resources: solar panels, EV chargers, heat pumps, and batteries owned by consumers and听prosumers听alike. The number of connected assets is growing rapidly, generating vast amounts of operational, commercial, and customer data. Managing this听data reliably and consistently is one of the defining challenges of the next energy decade.听

At the same time, digital energy platforms and new market entrants are intermediating the customer relationship, offering integrated propositions that bundle connectivity, flexibility, and billing into a single stack. Utilities that do not act risk being reduced to commodity providers.

To unlock the value of distributed energy resources, utilities need more than connectivity. They need听data orchestration:听a trusted, intelligent foundation that harmonizes听information across every process, partner, and device and ensures they听own rather than rent听their energy transition capabilities.听

From distributed assets to orchestrated intelligence 

The听麻豆原创 Distributed Energy Resources听solution is designed to听meet exactly听this challenge. Built on 麻豆原创 BTP, it enables utilities to manage distributed energy resources-related data at scale across production, consumption, and storage while helping to ensure reliability, performance, and consistency.听

Rather than acting as an operational control system, 麻豆原创 DER focuses on data orchestration and integration. It helps ensure that distributed energy resources data can flow seamlessly between operational, commercial, and analytical systems, providing a single source of truth that can connect the physical and digital worlds of energy. 

鈥淭he complexity our customers face with prosumer data is exponential. They need reliability, performance, and consistency across all their data sources, and that鈥檚 exactly where 麻豆原创 Distributed Energy Resources comes in.鈥� 

Kim Maren Ekrutt, Global Industry Business Unit Utilities Co鈥慔ead, 麻豆原创 

Two pillars of the 麻豆原创 DER solution 

1. Complex installation and prosumer data orchestration: technical and commercial foundation

Manage the full spectrum of prosumer-related data, covering both complex technical installation details, such as meters, solar panels, batteries, EV chargers, and heat pumps, and the commercial information required to operate distributed energy resources at scale. This includes customer and prosumer master data, product structures, tariffs, contracts, grid connection agreements, feed-in contracts, and all commercial relationships linked to each installation. 

By bringing together technical asset data with commercial attributes and agreement information, the solution can provide a unified and reliable model of every installation. This is essential because distributed energy resources cannot be managed with technical information alone. Commercial products, grid contracts, flexible tariffs, and incentive agreements determine how energy flows are measured, settled, billed, shared, or monetized. 

This pillar becomes the foundation for energy communities, virtual power plant participation, flexibility programs, dynamic pricing, capacity and congestion management, and any business model involving prosumers and distributed energy assets. 

2. Energy management and sharing 

Track and analyze听how energy is consumed, produced, stored, and shared, enabling new energy community and peer-to-peer听business models. With high-resolution energy data and intelligent allocation algorithms, utilities can offer transparent, fair, and regulation-compliant energy sharing services to residential and commercial participants alike.听

Connecting data, processes, and people 

Utilities already rely on 麻豆原创 for mission-critical processes such as meter to cash, asset management, and customer experience. 麻豆原创 DER can extend this foundation, linking every asset, agreement, and customer interaction within one coherent data model. This integrated approach helps turn technical data into business value, powering use cases such as smart tariffs, dynamic pricing, and energy sharing. For utilities, this means a single enterprise backbone that can connect the traditional meter-to-cash world with the emerging flexibility and distributed energy resources economy. 

A partner ecosystem for the energy flexibility market 

No single vendor can address the full breadth of the distributed energy landscape. 麻豆原创 has assembled a curated ecosystem of specialist technology partners, each bringing deep domain expertise that complements 麻豆原创鈥檚 enterprise data platform. Data stays with the utility, business logic听remains听under their control, and the customer relationship belongs to them.听

麻豆原创鈥檚 technology partners extend the platform across six critical domains: 

• Flexibility management and virtual power plants:听Orchestrate and monetize听prosumer听assets, including EVs, batteries, heat pumps, and solar inverters, for flexibility markets and smart charging services.听
• Energy communities and energy sharing:听Design and听operate听energy communities with transparent allocation, dynamic local pricing, and full regulatory compliance.听
• Grid congestion and capacity management:听Forecast, detect, and resolve grid congestion at the low-voltage-network-level while unlocking flexibility revenues.听
• Energy portfolio management and trading:听Access wholesale and flexibility markets with听real-time听pricing, dynamic quotations, and risk management.听
• Customer insights and energy disaggregation:听Deliver behind-the-meter visibility through non-intrusive load monitoring and appliance-level analytics.听
• Demand response and load management:听Design and execute demand response programs, combining customer incentives, dynamic pricing, and automated device control.听

鈥淥ur role is to help utilities master the growing data complexity and turn it into opportunity. With 麻豆原创 Distributed Energy Resources and our partner ecosystem, we鈥檙e connecting data, processes, and partners into one intelligent platform that enables utilities to own their energy transition.鈥� 

Kim Maren Ekrutt, Global VP & Co-Head Industry Business Unit Utilities

About 麻豆原创 Distributed Energy Resources 

麻豆原创 Distributed Energy Resources provides utilities with a public cloud platform to help model, manage, and share distributed energy resources data across operational and commercial domains. Integrated with 麻豆原创鈥檚 core utilities portfolio and a curated global partner ecosystem, it can enable reliable data exchange, smart energy management, and customer-centric innovation for the distributed energy era.听

Mateu Munar is senior director of Industry Business Unit Utilities at 麻豆原创.

Founded in 1917, the is comprised of 32 Clubs located across North America. It serves a global fan base of nearly 700 million annual spectators across in-arena, broadcast, and digital channels. With millions of fans worldwide watching and Clubs fighting for any edge they can find, the NHL needed a future-focused way to manage critical decisions shaping the game.

To develop, maintain, and grow a roster within the salary cap system’s guidelines is no small undertaking, especially given the numerous variables that change in real time. While instituting the salary cap helps maintain evenly balanced teams that deliver thrilling games, it also contributes to a complex front-office balancing act, where every potential trade or player acquisition poses a mind-numbing array of opportunities and complications, short and long term.

Across the League, Clubs develop their own roster-management approaches, each using different tools and resources. No matter the variations among the solutions, they were mainly labor-intensive, disconnected systems, which meant that teams did not necessarily have access to real-time data, let alone reliable data, or an efficient means to access and analyze the data they did have.

The NHL, however, had a vision鈥攁 unified system that would consolidate player and League data into one platform accessible to all Clubs.

The 麻豆原创-NHL Front Office App for iPad delivers on that vision by providing a centralized view of the League, down to the team level, and drilling further into player data, enabling front offices to make more informed, real-time decisions with greater accuracy and efficiency.

First steps: consolidation and collaboration

Before the League could make that vision a reality, several obstacles needed to be resolved, starting with what , VP of Digital Business Development at the NHL, described as the League鈥檚 primary pain point: disconnected, legacy data management systems. Pascal Bornet, AI and automation expert, applauded this approach, advising organizations to 鈥渟tart with the friction points.鈥�

Phase one, Foster explained, was 鈥渞eally updating our backend,鈥� consolidating all the League鈥檚 data, from contract to salary information, and combining it with player statistics and video clips on 麻豆原创 HANA Cloud.

Armed with a new database that would provide a seamless, fully connected single source of information for every NHL Club, the League was ready for its next challenge: creating a digital front-office solution that would meet the needs of 32 entirely different front offices, each with their own systems, priorities, 鈥渦se cases, day-to-day responsibilities, and current challenges with data or workflows,鈥� Foster explained.

The key to developing the League鈥檚 new application, Foster said, was leveraging 鈥渄esign-thinking principles鈥� and 鈥渁uthentic user feedback鈥� to create a single solution that would offer real added value to each user, from GMs to analysts to administrators, on each NHL team.

A power play digital solution

That disciplined, user-centered approach, combined with the NHL鈥檚 diligent attention to data consolidation, enabled the League to launch its 麻豆原创-NHL Front Office App for iPad in record time. While not mandatory, the app quickly proved its value and was rapidly adopted by all 32 Clubs. 

The app has already transformed day-to-day operations for Clubs, thanks to its ability to seamlessly access and interpret a single, reliable, and interconnected source of information on three different levels. The broadest level, the league view, offers data across the entire NHL, including current and projected salary caps for each club, off-season scenarios, and draft pick conditions; the team view breaks down the contracts of each player on the roster and provides visual cues for free agents or injured players; and the player view displays bios, contract PDFs, no-trade clauses, waiver status, performance bonuses, and even video clips of game highlights for every player in the League.

As Bornet said, 鈥淚t鈥檚 about the right data, instantly and everywhere.鈥� By rethinking the process first and prioritizing user needs, the League created a foundation for change鈥攐ne that keeps 鈥渉umans firmly in command鈥� and uses technology to 鈥渁mplify judgment, not replace it,鈥� Bornet added.

Foster attributed the new app鈥檚 resounding success to the processing power of (麻豆原创 BTP), which enables club-specific customizations and allows for real-time calculations to fuel mission-critical decision-making.

Playing the long game

The NHL and 麻豆原创 have a long-standing technology partnership that has powered several League-wide innovations, including NHL.com/Stats, the 麻豆原创-NHL Coaching Insights App, and NHL Venue Metrics. The Front Office App builds on this foundation and represents the next phase of the League鈥檚 digital transformation.

While the Front Office App is currently helping each NHL Club shape its team’s future, the League is continuing to look ahead. 鈥淭his is a project with a multi-year road map,鈥� Foster said.

As the NHL continues its innovation journey, it will remain laser-focused on user experience. Foster advised those looking to undertake their own digital transformation to take a page from the NHL鈥檚 playbook: 鈥淟et go of preconceived notions and realign your priorities according to user feedback. Be adaptable. Be fluid.鈥� And get excited, because 鈥渢he possibilities really are limitless.鈥�

That same approach, Bornet added, 鈥渁pplies far beyond Hockey.鈥� The NHL鈥檚 emphasis on identifying friction points and applying user-first design offers a practical template for any organization managing complex constraints and real-time decisions. Across industries, the challenge is the same: 鈥渢oo much data, too many variables, and decisions that can鈥檛 wait.鈥� The real breakthrough, he noted, 鈥渋sn鈥檛 the technology itself鈥攊t鈥檚 a mindset shift,鈥� from 鈥渁dding AI鈥� to 鈥渞emoving cognitive friction,鈥� and from 鈥渂uilding for power users鈥� to 鈥渄esigning for actual users.鈥�

Explore the episode, focused on the customer journey

Learn more about how the NHL engineered a game-changing, League-wide digital transformation:

• : Foster and Bornet talk with Thulium CEO Tamara McCleary about the untapped power of data, when it鈥檚 reliable, connected, and accessible, and how the NHL went from inspiration to iteration with the end users being essential to the transformation.

• : Foster听talks with me about听the process of creating a mobile app that听meets听the needs of 32听distinct听front offices, each with their own systems, use cases, day-to-day responsibilities, and priorities.

For five seasons on demand, visit .

Do you have ideas for topics or technologies we should cover, or would you like to be a guest on the show? We鈥檇 love to hear from you. E-mail us.

Timo Elliott is vice president and global innovation advocate for 麻豆原创 BTP at 麻豆原创.

According to industry , auto executives expect AI to boost product value by 22% and digital service value by 37% within three years. As vehicle portfolios expand鈥攅lectric, hybrid, software-defined, and increasingly customized鈥攖he operational complexity for automakers and suppliers has risen sharply. Nowhere is this more evident than in service parts management and new product introduction (NPI).

Service parts planners sit at the intersection of engineering, supply chain, manufacturing, and customer service. Their task is deceptively simple: ensure the right parts are available at the right time and place across a vehicle鈥檚 lifecycle. In reality, they grapple with fragmented data, limited inventory visibility, unpredictable demand signals, and compressed timelines鈥攅specially as new models and components are introduced at unprecedented speed. High data quality, tight orchestration across systems, and rapid decision-making are no longer nice to have, they are business-critical.

This is where becomes transformative. Instead of treating NPI as a linear, manual, and reactive process, AI agents can fundamentally reimagine how service parts planning is executed. By embedding AI directly into the planning workflow, service parts planners are supported鈥攏ot replaced鈥攂y intelligent systems that operate with full contextual awareness. These AI agents can monitor real-time data across inventories, supplier readiness, historical demand patterns, external risk factors, and engineering changes, as well as orchestrate the NPI process end to end.

In practice, this means planners move from firefighting to foresight. AI agents can automate sequential NPI steps, flag potential bottlenecks before they materialize, and dynamically adjust plans as conditions change. A single, unified dashboard provides transparency across the entire process, while built-in what-if simulations allow planners to test scenarios鈥攕upplier delays, demand spikes, geopolitical disruptions鈥攂efore decisions are locked in. Crucially, humans remain firmly in control. AI augments judgment, improves speed, and enhances confidence, rather than operating in a silo.

Platforms like 麻豆原创 Business Technology Platform (麻豆原创 BTP), combined with Joule and the agent builder capability in Joule Studio, can enable this multi-agent approach at enterprise scale. By integrating AI seamlessly with core business processes, automakers can ensure that intelligence flows across functions, rather than being trapped in silos. The result is not just automation, but orchestration鈥攚here systems, data, and people work in concert.

The impact is tangible. Automakers can significantly reduce planning cycle times and improve time-to-market for new products. Planning risk is lowered through continuous what-if analysis that incorporates both internal and external variables. Service readiness improves, ensuring that customers experience continuity and reliability even as product complexity increases. At an ecosystem level, this translates into greater resilience, lower costs, and higher customer satisfaction.

More broadly, this use case points to a shift in how we should think about customer-specific AI in automotive. The future will not be defined solely by smarter vehicles, but by smarter enterprises鈥攚here AI agents support decision-making across the value chain, from product inception to end-of-life service. In an industry under pressure to innovate faster, operate leaner, and remain sustainable, AI-driven operations are fast becoming a competitive necessity. The automotive ecosystem is evolving. Those who embrace AI not just as a technology but as a new operating model will be best positioned to lead it.

Sindhu Gangadharan is head of Customer Innovation Services and managing director for 麻豆原创 Labs India.

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.听 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.

Heartland Dental is the largest dental support organization in the United States, with over 3,000 supported doctors in more than 1,900 supported practices across 39 states and Washington, D.C. But beyond numbers, what sets Heartland apart is its tight knit community and people culture. As Jerome shared, “The first thing I associate with Heartland is community; we鈥檙e doctor-led. In our support role, we don鈥檛 tell dentists how to practice. Our role is to make their lives easier鈥攅nabling dentists to concentrate on patient care.”

Making lives easier is a vision Heartland shares not only for its supported dentists but for its own operations. The company’s digital journey began “backwards” starting in 2018 with 麻豆原创 Business Technology Platform (麻豆原创 BTP), instead of with ERP, to resolve disparate data from all over. Once 麻豆原创 BTP was established and adopted by the organization, it then began to incorporate .

What makes this journey truly stand out is how Heartland is using technology to serve people, supported through seamless integration with tools like 麻豆原创 Concur solutions, embedded听AI鈥攕uch as smart invoice management鈥攁nd embedded analytics. These features are freeing up time and resources so teams can focus on what matters most: supporting doctors and improving patient care.

The team has rolled out听麻豆原创 Build Work Zone across its supported practices and is investing in听AI tools like 听to help employees access information faster, automate repetitive tasks, and focus on what really matters鈥攑atient care and experiences. Jerome explained, “Just like we take the administrative burden off our supported doctors, 麻豆原创 takes the tech burden off us, so we can focus on supporting doctors and their teams.鈥�

Heartland’s next big milestone is going live with 麻豆原创 S/4HANA Cloud Public Edition听and taking AI a step further to automation.

Heartland Dental鈥檚 story shows that with the strategic adoption of technological innovations, it鈥檚 possible to build a future-ready healthcare support organization grounded in people and purpose.

Chris Putvinski is a communications specialist at 麻豆原创.

Its advanced refrigeration, air conditioning, and heat pump technologies keep supermarket shelves, hotel rooms, and hospital operating theaters at the right temperatures, whatever the ambient temperature is. Its compressors are essential for storing medicines, preserving perishable goods in shipping containers, and processing frozen foods. And if that isn鈥檛 impressive enough, its technology keeps ice hockey players gliding across the ice and breweries fermenting yeast for your beer.

The company is a longstanding RISE with 麻豆原创 customer and, like 麻豆原创, is constantly innovating its products to stay ahead. Christian Stenzel, vice president of Organization and IT at BITZER, has a clear vision for an 麻豆原创 strategy that prioritizes integration and rapid adoption of AI: 鈥淥ptimizing business processes is as important as product innovation at BITZER.鈥�

The 麻豆原创 Research and Innovation team is equally committed to keeping 麻豆原创 ahead by exploring new technologies and one team is currently dedicated to Project Embodied AI. Embodied AI combines artificial intelligence with a physical form, such as robots, that can perceive and act in the real world. Embodied AI agents take this a step further: extending the impact of into physical operations by making robots cognitive.

To explore potential use cases where cognitive robots could bring value, the Project Embodied AI team invited a select group of forward-thinking leaders and innovation professionals from 麻豆原创 customers to join its Physical AI and Cognitive Robots Exploration Council. And BITZER was one of them.

鈥淒emand-driven production is key in our business,鈥� said BITZER’s Stenzel, who immediately saw the potential value in using robots to meet demand fluctuations.

Running on (麻豆原创 BTP) and , already in place, BITZER already had the ideal software landscape to serve as a proof-of-concept test ground.

Before deployment, NEURA鈥檚 , one of Europe鈥檚 most advanced humanoid robots, was virtually trained for the pick-task use case on NVIDIA Isaac Sim software.

A new benchmark for intelligent automation

This proof of concept for Project Embodied AI sets a new benchmark for intelligent automation in warehouses, Stenzel said. The results highlight:

• Seamless integration: 麻豆原创 EWM connected directly with physical warehouse operations, no costly middleware required.
• True autonomy: Robots performed pick-tasks independently, demonstrating advanced task-level autonomy.
• Agility and flexibility: Robots could enable demand-driven production, operating 24/7 to meet shifting needs.
• Reliable processes: Orders of materials were automatically created, demonstrating how operational mistakes could be minimized.

A decisive step forward

Dr. Lukasz Ostrowski, head of Embodied AI and Robotics at 麻豆原创, heralded this proof-of-concept as a decisive step forward: 鈥淭he proof of concept at BITZER is great first step for experiencing firsthand how the impact of 麻豆原创 Business AI can be extended into physical operations. Further proofs of concept are planned as Project Embodied AI continues to assess the business value of embodied AI for customers.鈥�

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This is where 麻豆原创 and the 麻豆原创 partner ecosystem make a decisive difference.

Together, we help customers translate AI strategies into meaningful outcomes by pairing partner industry expertise with听麻豆原创 Business AI, which brings hundreds of purpose-built, domain-rich capabilities embedded across 麻豆原创 applications. These capabilities help automate processes, elevate decision-making, and enhance employee productivity across the enterprise.

麻豆原创 Business Technology Platform (麻豆原创 BTP) amplifies this foundation by giving customers the ability to integrate, extend, and build AI-powered solutions in a scalable and secure environment.

Across industries, 麻豆原创 and our partners are helping customers unlock real value from AI. The examples below show how organizations are already achieving tangible impact today.

Driving efficiency with AI-powered process automation

Manual, repetitive processes remain one of the biggest barriers to operational excellence. The 麻豆原创 partner ecosystem plays a critical role in helping customers uncover these inefficiencies and redesign them with AI-driven automation.

For frozen-food manufacturer听FRoSTA, 麻豆原创 partners听sovanta AG,听and听Amista听identified invoice processing as a major bottleneck. By orchestrating the workflow using听麻豆原创 Build Process Automation听and extracting, interpreting, and validating data through听麻豆原创 Document AI, the partners were able to . Invoices that once required several minutes of manual effort now flow through the system in under a minute, with roughly 60 percent fully automated. Employees can redirect their attention to higher-value work, such as resolving exceptions and collaborating with suppliers.

This is the power of pairing partner expertise with 麻豆原创 Business AI and 麻豆原创 BTP solutions: Organizations quickly shift from isolated task automation to connected, intelligent workflows that scale across departments and regions. What begins as a single use case becomes the foundation for a broader automation strategy鈥攁ccelerating processes, reducing manual effort, and tightening the connection between data, people, and decisions.

Accelerating innovation by making AI accessible to every team

As demand for AI grows, many organizations face a familiar hurdle: the scarcity of specialized AI talent. Partners in the 麻豆原创 ecosystem help close this gap by combining their industry knowledge with tools in 麻豆原创 Business AI and 麻豆原创 BTP that make it easier for teams across the business to experiment, prototype, and deploy AI solutions at speed.

A strong example comes from Aspen Pumps, which partnered with NTT DATA听to . Using low-code capabilities from听麻豆原创 Build to design and orchestrate workflows and 麻豆原创 AI Core to power AI models, the team rapidly developed a series of automation bots鈥�12 in total. These now streamline activities such as invoice validation, order routing, and even interpreting CAD drawings to accelerate quote creation. Many proof-of-concept initiatives were completed in under a week, demonstrating how accessible innovation becomes when intelligent capabilities are built directly into the tools teams already use.

By lowering the barriers to experimentation, 麻豆原创 and partners help organizations innovate faster and more confidently. Teams can explore new ideas, test them safely, and scale what works鈥攚ithout waiting for scarce technical resources or lengthy development cycles. Innovation becomes a daily practice, not a specialized activity reserved for a few.

Building a future-ready foundation with scalable, extensible architecture

As AI becomes more deeply integrated into business operations, leaders are prioritizing platforms that will scale with them, not constrain them. This is where 麻豆原创 partners help customers design architectures that can evolve with changing market needs while preserving the stability of their core systems.

Steel manufacturer听Al Ghurair Iron and Steel (AGIS)听offers a powerful example. Working with听Deloitte, the company using 麻豆原创 Business AI embedded in 麻豆原创 S/4HANA Cloud, private edition, combined with the integration and extension capabilities of 麻豆原创 BTP. A planning cycle that once required 15 minutes of manual coordination now takes less than five. The solution has been replicated across multiple locations, and more than 400 calculations are now automated, giving teams more time to analyze results and optimize operations rather than manage spreadsheets.

When 麻豆原创 Business AI and 麻豆原创 BTP come together with partner expertise, companies gain a foundation they can rely on as their AI ambitions grow. They can scale new capabilities across plants, regions, or business units; extend processes without disrupting mission-critical systems; and seamlessly connect 麻豆原创 and non-麻豆原创 environments into a cohesive, intelligent landscape.

Turning AI potential into business transformation

These stories demonstrate what becomes possible when customers, 麻豆原创, and our partners work together: faster processing, smarter decisions, empowered employees, and architectures built for long-term agility and growth.

With the combined strength of the 麻豆原创 partner ecosystem, the domain-rich intelligence of 麻豆原创 Business AI, and the extensibility of 麻豆原创 BTP, organizations can move beyond pilots and embed AI where it matters most: in the daily processes and decisions that run their businesses.

Learn more about what’s possible for your business with 麻豆原创 Business AI at .

Bringing a sport like dressage into the digital age would be no small feat, but that is precisely the challenge Black Horse One undertook in 2016.

Partnering with 麻豆原创, Black Horse One CEO Daniel G枚hlen and his team of 12 brought a quiet digital revolution to the paper-based, tradition-bound world of equestrian sports鈥攊ntroducing digital scoring systems, streamlining event operations, and facilitating fan engagement鈥攖hat supported and enhanced the experience of trainers, athletes, judges, federations, event managers, and fans all over the world.

However, Black Horse One saw room for even more innovation in equestrian sports, particularly in addressing the operational challenges of equestrian event management and the untapped potential of the industry鈥檚 heavily siloed data.

Digital transformation unlocks boundless potential

With its 鈥渃onsistency, affordability, and proven reliability,鈥� 麻豆原创 quickly became mission-critical for Black Horse One. Building on that success, G枚hlen turned to to bring the company鈥檚 next vision to life鈥攁 digital event management system designed to transform how equestrian competitions are run. The new system delivers real-time, end-to-end oversight and streamlines every workflow, giving 鈥渟how organizers and national federations a 360-degree software鈥� that has cut event preparation time in half.

The industry quickly took note, and Black Horse One went from 100 equestrian shows a year in 15 countries to around 300 in 32 countries and from 50,000 unique users per month to as many as 3 million鈥攁n exponential increase in operations that the company supports with the same small team.

Further digitization of processes and information has helped Black Horse One dismantle the data silos that challenge many industries, especially one as rooted in tradition as equestrian sports. Data pours in from multiple sources: national federations maintain separate records for each horse, judges and audiences submit marks in real time, and organizers update competition systems on the fly. Every change must be reflected instantly, not only to maintain accurate results but also to meet fans鈥� expectations for real-time updates.

G枚hlen, himself a former equestrian athlete, explains that many seasoned trainers and riders struggle to capture and pass on their hard-earned expertise and knowledge built over decades in the arena. A platform that enables real-time recording and sharing of performance data, scoring insights, and training techniques across a global, always-on network is transforming how the dressage community preserves and transmits its know-how.

And, in a sport where animal welfare is paramount, continued technological advancement offers additional layers of information and accountability when it comes to tracking and monitoring horses, which, G枚hlen hopes, will continue to equate to happier, healthier equine athletes.

Leveraging AI in a world of tradition

Black Horse One continues to take a storied sport across new technological frontiers, leveraging 麻豆原创 BTP to help bring artificial intelligence (AI) into its offerings. The company is already using AI to analyze performance data and biomechanical metrics, delivering personalized training and technique insights. It can even generate AI announcers when human ones aren鈥檛 available. G枚hlen notes that Black Horse One is still in the early stages of exploring the 鈥渢remendous鈥� potential of AI鈥攗sing it to support and advance equestrian sport in ways that are not only exciting but also wise and effective.

G枚hlen himself offers sage advice when it comes to assuaging stakeholders鈥� fears around digital transformation and AI in particular: 鈥淧eople really need to see that the technology supports them rather than replaces them.鈥�

Real and sustainable innovation

Black Horse One鈥檚 remarkable story of leveraging technology to transform an age-old sport demonstrates that there is no company too small or industry too niche to benefit from digital transformation.

For those looking to embark on a similar journey, G枚hlen has advice: first, start with the pain points, 鈥渨here processes are currently inefficient or fragmented,鈥� and then find the technology to ensure meaningful innovation. Second, G枚hlen advises companies to earn and keep their customers鈥� trust. 鈥淚n many of our mission-critical settings, if we make a mistake, we can鈥檛 undo it. So, make sure that you choose your technology wisely,鈥� he says.

Finally, and most crucially, remember that innovation is a process, not a destination. 鈥淣ever stop learning,鈥� G枚hlen says. 鈥淓ach project should push you and your team to grow technically and strategically. This is how innovation stays real and sustainable.鈥�

For the full Black Horse One episode and the on-demand Better Together: Customer Conversations series, visit .

The full episode

Learn more about how Black Horse One brought digital transformation to the tradition-bound world of equestrian sports.

• : G枚hlen, CEO of Black Horse One, talks with Tamara McCleary, CEO of Thulium, to share his motivation and journey merging tradition with technology to transform equestrian events, improving the sport and the sporting experience for athletes and audiences and winning over even the most traditional participants.
• : G枚hlen talks with me about what it took and the technologies that have resulted in a suite of applications that revolutionized the dressage world.

To access the whole series, on demand, visit .

Do you have ideas for topics or technologies we should cover, or would you like to be a guest on the show? We want to hear from you, just e-mail us.

Timo Elliottis vice president and global innovation advocate for 麻豆原创 BTP at 麻豆原创.

麻豆原创 now unites all existing milestones under a single strategic framework: a sovereign AI and cloud offering designed for Europe. 麻豆原创 now offers a truly full-stack sovereign cloud offering, empowering customers to select the right level of sovereignty and deployment for their needs, whether in 麻豆原创鈥檚 own data centers, on trusted European infrastructure or as a fully managed solution on-site.

EU AI Cloud supports EU data residency and full sovereignty, helping ensure that every organization can meet its unique regulatory and operational requirements.

Cohere: Unlocking Sovereign, Agentic and Multimodal AI Capabilities for European Enterprises

麻豆原创 and Cohere are joining forces to deliver frontier agentic AI capabilities with Cohere North, extending existing state-of-the-art multimodal AI capabilities through EU AI Cloud and sovereign offerings. Cohere North will be integrated into 麻豆原创 Business Technology Platform (麻豆原创 BTP), enabling customers with data residency constraints across industries to build robust, production-ready AI into their core business processes. Together, 麻豆原创 and Cohere will help enterprises unlock deeper insights, more accurate decision support and more intelligent automation across complex workflows without compromising on sovereignty, compliance or performance.

A Strong and Growing Ecosystem

EU AI Cloud is powered by a strong and growing ecosystem of leading European and global partners. By integrating advanced AI models and applications from partners such as Cohere, Mistral AI, OpenAI and others directly into 麻豆原创 BTP, EU AI Cloud delivers a pathway for building, deploying and scaling AI-powered applications. Customers can consume these partner offerings as SaaS, PaaS or IaaS, and deploy them flexibly across 麻豆原创鈥檚 own infrastructure or trusted European partners.

This collaborative approach ensures that European enterprises and public sector organizations benefit from the latest AI innovations securely, in full compliance with European standards and with the sovereignty and flexibility they require.

Deployment Choices for Every Security Profile

EU AI Cloud offers flexible deployment through 麻豆原创 Sovereign Cloud, giving customers full control across infrastructure, platform and software tailored to their regulatory and operational needs. AI models run on 麻豆原创鈥檚 software abstraction layer (麻豆原创 Cloud Infrastructure + 麻豆原创 BTP) in European data centers, ensuring compliance and independence from U.S. hyperscalers.

• 麻豆原创 Sovereign Cloud on 麻豆原创 Cloud Infrastructure (EU): 麻豆原创鈥檚 Infrastructure-as-a-Service (IaaS), developed with open-source technologies and operated within 麻豆原创鈥檚 European data center network. All data remains within the EU to ensure compliance with European data protection regulations.
• 麻豆原创 Sovereign Cloud On-Site: 麻豆原创-operated infrastructure offering within a customer-owned or customer-selected data center. It provides the highest levels of data, operational, technical and legal sovereignty while maintaining 麻豆原创 cloud innovation and architecture.
• Selected Hyperscalers per Market: For customers that choose to run 麻豆原创 commercial SaaS on global cloud providers, with sovereignty features as required.
• Delos Cloud: A secure and sovereign cloud solution in Germany, designed to support the public sector鈥檚 transformation and meet country-specific sovereignty requirements.

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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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To support ongoing expansion, Far East sought more streamlined and efficient lease lifecycle management operations, leading the company to progressively digitalize the entire leasing lifecycle.

Manual processes prompt change

The leasing process at Far East has traditionally been resource-intensive, involving multiple manual steps and significant human intervention across various stages, including pre-offer approvals via e-mail, rental computations, budget comparisons, contract drafting, amendment management, and rental change tracking.

This approach required substantial manpower and created multiple data entry points across the leasing lifecycle, which could affect accuracy and timeliness. Manual updates to rental terms and amendments also contributed to inefficiencies.

The project marks an important step toward operational excellence. By identifying and addressing these systemic challenges, Far East is laying the foundation for a fully digital, integrated leasing platform that supports seamless process flow, real-time data visibility, and more informed decision-making. It is a bold shift toward a strategic, data-driven approach to leasing that enhances agility, accuracy, and growth.

A strategic move forward

For this reason, FEO decided to undertake a strategic transformation to digitalize its leasing operations through a robust, intelligent, and integrated 麻豆原创 ecosystem. This initiative unifies the full leasing lifecycle, from lead generation to contract execution and financial settlement, while enhancing operational excellence, data transparency, and customer service.

麻豆原创 was selected as the strategic platform for leasing digitalization due to its ability to deliver a comprehensive, end-to-end solution that connects business processes across the leasing lifecycle. With at the core, Far East benefits from a powerful digital foundation that aligns real estate, finance, and operational workflows into a single source of truth, supporting data integrity, process consistency, and real-time visibility. 麻豆原创鈥檚 cutting-edge technologies鈥攊ncluding 麻豆原创 Customer Relationship Management (麻豆原创 CRM), 麻豆原创 Business Technology Platform (麻豆原创 BTP), and 麻豆原创 Fiori apps鈥攅nable intelligent automation, advanced analytics, and a clean core architecture that supports both standardization and innovation.

This integrated ecosystem empowers FEO employees to leverage real-time analytics for data-driven decisions and reduce errors and eliminate bottlenecks with automated tasks, streamlined processes, and optimized workflows.

The result? FEO experienced an 80% improvement in sales process efficiency at closing leasing sales.

Impact of the leasing digitalization project

The successful implementation of the leasing digitalization project has delivered tangible improvements across the organization, from the residential and commercial group business unit to its financial, operational, and compliance domains. By streamlining and automating leasing processes, FEO achieved over US$500,000 in annual cost savings while reducing operational overhead. The project eliminated redundant data entry through intelligent field derivation and automated rental computations, helping to minimize errors and boost workforce productivity.

In addition, the leasing lifecycle has been accelerated, cutting the lead-to-contract process and reducing contract generation time from days to just minutes. With 100% system uptime since go-live and strong user adoption, the platform has become a reliable tool for leasing operations. Intelligent validations, including budget checks and competitive rent evaluations, have strengthened regulatory compliance and enhanced decision accuracy. Collectively, these outcomes have strengthened FEO鈥檚 position as a digitally enabled real estate business, well-equipped for agile, data-driven portfolio management and continuous innovation.

FEO has made significant leaps forward in the property management industry. Employee productivity has increased with streamlined processes. Regulatory compliance with industry regulations and standards is managed with intelligent validation. And, analytics provide valuable insights into tenant behavior, rent trends, and property performance.

An 麻豆原创 Innovation Award winner

For its property management achievement, Far East Organization was selected as a 2025 麻豆原创 Innovation Award winner in the Industry Leader category.

Nicolas Englo is program manager for the 麻豆原创 Innovation Awards.

The system was developed by 麻豆原创 Japan and INSPIRATION PLUS, a venture from Oita University focused on disaster prevention.

EDiSON, which runs on 麻豆原创 Business Technology Platform, exemplifies how intelligent enterprise technology can be harnessed to address global challenges such as cyclones (typhoons) and floods. It integrates diverse types of information, including real-time, visual meteorological data and historical data records, to drive predictive insights and smarter operations assisted by 麻豆原创 Business AI and machine learning.

These predictions offer authorities a vital tool for delivering faster response times and mitigating damage in the event of a natural disaster. This includes forecasting terrain damage, dispatching emergency services to affected areas and supporting decision-making in issuing evacuation advisories. The Solomon Islands initiative is envisioned as a blueprint for other small island developing states, showcasing how cutting-edge technology can democratize disaster resilience.

鈥淓DiSON represents a leap forward in how science and technology can empower vulnerable communities,鈥� UNESCO Chief of Disaster Risk Reduction Soichiro Yasukawa said. 鈥淏y integrating AI and real-time data, we are not only improving early warning capabilities but also building a foundation for long-term resilience and sustainable development.鈥�

The project, part of UNESCO鈥檚 Disaster Prevention Strengthening Program, will be operational in 2026. It aims to establish a scalable, data-driven model for disaster preparedness and responses of small island nations that face the increasing severity of natural disasters driven by climate change. The Solomon Islands, located in the South Pacific Ocean, face frequent threats from earthquakes, tsunamis, cyclones, droughts and flooding. EDiSON will serve as a transformative solution to enhance national preparedness and response capabilities.

EDiSON integrates static and real-time dynamic data from government, municipal and private sector sources. The system delivers predictive insights and real-time visibility into emerging disaster risks. This empowers authorities to issue timely evacuation orders and make informed decisions that protect lives and infrastructure.

Why EDiSON? Proven Performance and Scalable Sustainability

鈥淭his project exemplifies 麻豆原创鈥檚 commitment to using technology to empower resilient communities,鈥� said Sophia Mendelsohn, chief sustainability and commercial officer at 麻豆原创 SE. 鈥淓DiSON is a powerful example of how our cloud platform and AI capabilities can be tailored to meet the needs of communities facing real-world challenges. We鈥檙e proud to support UNESCO in bringing this innovation to the Solomon Islands and beyond.鈥�

UNESCO鈥檚 selection of EDiSON was driven by the system鈥檚 proven track record in Japan鈥攁 country renowned for its advanced disaster management systems. The system鈥檚 ability to overcome traditional barriers such as fragmented data, limited analytical capacity and underutilization in field operations makes it especially valuable for resource-constrained nations such as the Solomon Islands. EDiSON鈥檚 modular design helps ensure scalability and adaptability, enabling governments to deploy sophisticated disaster management tools without requiring extensive budgets or technical expertise.

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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.

Bekaert aspires to become a people- and data-driven company. This requires a thorough strategic and cultural transformation, in which artificial intelligence plays a crucial role. To get started, the company set priorities, leveraging the already available in its existing HR solutions such as 麻豆原创 SuccessFactors solutions. By focusing on a few embedded AI use cases and creating a stand-alone AI tool on top of that, it started exploring and seeing the AI benefits.

“AI is a means to achieve our goals, a logical extension of our HR strategy,” says Jorn Waterschoot, global head of HR Technology at Bekaert. 鈥淎I’s growing capabilities, cost-effectiveness, and versatility are transforming businesses by enhancing user experiences, enabling experimentation, and encouraging adoption. At Bekaert, these strengths are leveraged in HR while carefully managing hidden costs and focusing on end-to-end implementation to maximize AI鈥檚 potential. At Bekaert, the goal is to make AI feel like a candy store: once employees experience its versatility, they are encouraged to explore it further.鈥�

First use case: the AI Master Data Assistant

Together with its long-standing partner and , Bekaert worked along a human-centered approach to innovation to identify opportunities and use cases. One of these identified use cases was a stand-alone AI tool that Bekaert used for HR data improvement. This tool was not integrated in the existing software landscape and required of users to extract and import data. 

To improve this laborious process, Flexso helped design and build a custom AI solution, called AI Master Data Assistant, with the help of 麻豆原创 AI Core in 麻豆原创 Business Technology Platform. This new solution has been fully integrated with 麻豆原创 SuccessFactors solutions, using 麻豆原创 Integration Suite. Currently, the solution uses a specific AI model from generative AI hub in 麻豆原创 AI Core. However, the flexibility with various models offered through the generative AI hub capability would allow the partner to use another AI model for this solution in the future.

Who benefits from AI in HR at Bekaert?

The AI Master Data Assistant allows the Bekaert HR teams to enhance data quality by automatically identifying, correcting, and preventing errors in employee records. The assistant can detect inconsistencies, duplicates, and missing information, ensuring that all data is accurate, complete, and up-to-date. In practice, it means that users can enter natural language prompts to get proposals for improvement. Via chat-like conversations, they can standardize formats, correct errors, and validate entries in real time.

For innovation projects, Bekaert usually rolls out new solutions gradually first through a number of role-specific use cases, then deploy them indiscriminately across the organization. For the new AI Master Data Assistant, the HR business partners and HR admin roles benefitted first.

Flexibility for the future

As part of the global 麻豆原创 AppHaus Network, Flexso always strives for a human-centered and sustainable co-innovation approach with its customers. It is about bringing innovation into the hands of people. David Pierre, AI practice lead at Flexso explains: 鈥淭he AI world is developing so fast. So, the principle in our solution is that we are AI model agnostic. Today, we are using model GPT to support our use case. But if we have a better model in the future, then we can also switch to other models as they are all supported by 麻豆原创 BTP.鈥�

Imke Vierjahn is 麻豆原创 AppHaus communications lead.

We鈥檙e entering a new era, according to 麻豆原创 Executive Board Member Muhammad Alam, in charge of 麻豆原创 Product & Engineering: 鈥渢he era of agentic AI, where AI moves from being just a tool to becoming your trusted teammate.”

Joined on stage by 麻豆原创 CTO Philipp Herzig and Michael Ameling, president of 麻豆原创 Business Technology Platform, Alam set the stage during the kick-off keynote, saying: 鈥淎s developers, you are not on the sidelines of this AI revolution. You are the revolution. And we are here to supercharge you for what鈥檚 next.鈥�

Supercharging developers

Together they dismissed suggestions that AI will replace developers. 鈥淭he truth is that developers aren’t going away,鈥� Alam said. 鈥淭hey are getting supercharged. They’re becoming the architects of smart connected businesses. So, the real question isn’t if we need developers; it’s how fast can we empower them to thrive and lead in this AI-native era?鈥�

Ameling, Alam, and Herzig outlined 麻豆原创’s vision and highlighted the integration of AI, data, and intelligent agents to transform business processes and drive innovation. They also emphasized the importance of a unified data fabric and the deployment of advanced AI models and agentic technologies within the 麻豆原创 ecosystem.

In this new business environment, they noted that every enterprise is becoming a data company and every user experience鈥攆rom the front line to the boardroom鈥攊s becoming AI-driven.

鈥淎s developers, you don鈥檛 just code anymore,鈥� Alam said. 鈥淵ou also design intelligent workflows and supervise AI agents to shape real business outcomes.鈥� To help developers do this, 麻豆原创鈥檚 strategy centers on empowering them with applications, connecting them with data, and supercharging them with AI.

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麻豆原创 BTP is the foundation for AI agents

All this runs on 麻豆原创 Business Technology Platform (麻豆原创 BTP), which serves as the foundation for building and managing AI agents鈥攂oth 麻豆原创 built and custom developed. While 麻豆原创 BTP is the engine, the Business Transformation Management portfolio is the navigator, ensuring technology translates into real business impact. It aligns strategy, process, and people, turning AI-driven potential into sustainable transformation at scale.

Alam identified three broad themes during the keynote:

First, he said 麻豆原创 is continuing to make 麻豆原创 more open. As part of that, he announced 麻豆原创 Snowflake, which brings the full data and AI capabilities of Snowflake as a solution extension to 麻豆原创 Business Data Cloud (麻豆原创 BDC). This partnership is exactly what joint customers have been asking for, Alam shared.

Second, he said 麻豆原创 will provide developers with the most context-rich agentic platform, including the most deeply grounded set of ready-to-use agents that developers can customize to their needs. 鈥淭oday, you鈥檒l hear about creating custom Joule Agents using low-code and pro-code tools with agent builder in Joule Studio as part of 麻豆原创 Build鈥� Alam said.

鈥淲e鈥檙e also standardizing AI agent interoperability with the agent-to-agent protocol, allowing your agents to collaborate securely across ecosystems,鈥� he added.

Third, he announced 麻豆原创鈥檚 first foundation model built specifically for structured business data: 麻豆原创 RPT-1, pronounced 鈥溌槎乖� Rapid One.鈥� 鈥淥ur relational pretrained transformer delivers enterprise-grade accuracy and scale, outperforming both LLMs and AutoML for tabular AI, which is critical for building reliable high-value agents,鈥� Alam said.

鈥淚n short, we鈥檙e embracing an open ecosystem, supercharging agents with deep process and data context, and giving you the tools to amplify AI and agents,鈥� he said. As the keynote continued, Ameling and Herzig detailed these and other innovations, explaining how they will help developers work smarter and achieve more.

麻豆原创 BDC and Snowflake

Ameling expanded on the new partnership with Snowflake, which will bring Snowflake鈥檚 fully managed data and AI capabilities to 麻豆原创 customers. Together with the introduction of 麻豆原创 BDC Connect for Snowflake, he said this will result in cost savings and simplified data landscapes. 鈥淭his enables you to integrate 麻豆原创 and non-麻豆原创 data products seamlessly between 麻豆原创 BDC and Snowflake, so that you can deploy intelligent applications faster and share across your preferred data marketplace.鈥�

Ameling also positioned 麻豆原创 HANA Cloud as 鈥渢he database AI was looking for.鈥� With 麻豆原创 HANA Cloud and 麻豆原创 BDC, 麻豆原创 provides the best business data fabric to help address these challenges, he said. 鈥淲ithout 麻豆原创 HANA Cloud, you would have one database for each and every data representation, which leads to disaggregated data siloes that limit your AI potential. With 麻豆原创 HANA Cloud, we have all these powerful engines in one integrated, multi-model database.鈥�

Building on this, Herzig emphasized that every business requires a strong data foundation because 鈥淎I is nothing without well-organized data…On top of the data foundation sits our AI Foundation that allows you to not only use the latest frontier AI technologies out there in the market, but also to extend 麻豆原创鈥檚 out-of-the-box AI capabilities and build your own experiences deeply contextualized in your business processes and data.鈥�

麻豆原创 pioneers a tabular foundation model

Herzig then explained that 麻豆原创 RPT-1 was designed to address a crucial problem for developers and enable them to deliver much better predictive capabilities, enterprise-grade accuracy, and scale to business customers.

Until now, Herzig said, 鈥淲e still had to go back to good old machine learning 鈥o train what we call 鈥榥arrow鈥� AI models that are specifically made for each [business] task. Therefore, you really had to train a hell of a lot of models.鈥� For example, to solve 10 predictive tasks across 10 different entities like company codes or plants would require training 100 different models.

鈥淲hat we really want to do is get rid of all these models and just introduce one giant model that only requires a small amount of data to learn from,鈥� he said. That鈥檚 what 麻豆原创 RPT-1 is. 鈥淲e believe 麻豆原创 RPT-1 is the most capable predictive foundation model that鈥檚 out there today,鈥� he said, delivering much higher prediction quality while being very fast and super-efficient in terms of resource requirements.

Joule, Joule Agents, and AI assistants

The 麻豆原创 CTO also emphasized that the company is committed to providing developers with the most context-rich agentic platform. He noted that 麻豆原创 has already shipped 20 Joule Agents across lines of business and will have approximately 40 by the end of the year, and that these agents can leverage more than 2,100 pre-delivered Joule skills. In addition, more than 300 embedded AI scenarios across product lines are available for customers to date, including Joule Agents, growing to 400 use cases in total by the end of the year.

Ameling added: “Our promise is simple: build with intent. You describe the outcome and 麻豆原创 Build uses AI agents to generate code, logic, and UIs for you, all with seamless access to your applications and data while you stay in the flow… [麻豆原创] Joule for Developers enables vibe coding experiences to make intent-based development simple and intuitive.”

麻豆原创 is taking it one step further by providing extensions to work with VS code, Windsurf, Cursor, OpenAI Codex, Claude Code, Cline, and more directly in 麻豆原创 Build. “You choose a tool, and we meet you where you are,” Ameling said. He also announced that fine-tuned ABAP LLMs with ABAP 1 on AI Foundation will be published in Q4 this year.

麻豆原创 is redefining how developers interact with AI through innovations in Joule and agentic AI, but also in terms of physical AI. Herzig welcomed Torsten G. Mueller, Group CIO and COO BPS at Sartorius, to discuss how the partnership between Sartorius, NEURA Robotics, and 麻豆原创 is bringing to life robots that understand the what, when, and how based on live business context. 鈥淭his is how we鈥檙e really imagining the future, right? Humans and robots working in harmony through Joule, through AI,鈥� Herzig said.

Quantum computing

Looking to the future, Herzig ended the keynote by talking about another 鈥渃ompute paradigm that is still hard to seize鈥�: quantum computing. While he made it clear that 麻豆原创 is not building a quantum computer, 麻豆原创 is teaming up with quantum hardware leaders, like IBM鈥攚hose Director of Research and IBM Fellow Jay Gambetta joined via video鈥攖o help evaluate quantum computing for business processes and applications.

鈥淲e believe quantum will join classical and AI compute in your stack, and we鈥檙e embedding it into the processes and apps you鈥檙e already using, so it just shows up in the workflows of your enterprise,鈥� Herzig said. 鈥淎nd of course, with the cloud, we scale it all. Now, 麻豆原创 has got you covered, and you鈥檝e got your business covered.鈥�

Build custom agents on the most context-rich agentic platform

I鈥檓 excited to share the ability to build custom agents in will be generally available in December. New capabilities include AI-assisted agent design, system-triggered agents, extensibility of 麻豆原创-delivered Joule Agents, centralized enterprise-grade agent monitoring, support for Agent-to-Agent (A2A) protocol, and support for Model Context Protocol (MCP). Read our in-depth and to learn more.

鈥淛oule Studio鈥檚 agent builder connects 麻豆原创 analytics with merchandising systems, powering Accenture鈥檚 Optisell agent to surface at鈥憆isk inventory, recommend pricing actions, and simplify merchandise alert configuration — all without heavy custom development.鈥�

Catherine Nguyen, Global Lead for 麻豆原创 Business Group AI Strategy and Adoption, Accenture

For developers building pro-code agents, (麻豆原创 BTP) offers comprehensive support for popular open-source frameworks, like Crew.AI and LangGraph, and provides end-to-end identity, authorization, governance, and integration capabilities.

MCP support for is now available, providing with direct access to rich multi-model engines. This allows agents to be grounded in full data context: navigating relationships across customers and suppliers, understanding geographic dependencies through spatial data, and performing semantic searches through vector embeddings 鈥� all within a single in-memory engine. 

Additionally, 麻豆原创 HANA Cloud knowledge graph engine can now 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.

We鈥檙e also enabling agentic memory in 麻豆原创 HANA Cloud. With long-term memory, AI agents can persist context across long-running sessions and memorize past input and decisions, just like humans do, to become continuously smarter.

I鈥檓 excited to share several innovations, including our first enterprise relational foundation model (RPT), 麻豆原创-RPT-1, accompanied by a no-code testing playground environment and prompt optimizer service. New capabilities are continuously added to our , empowering developers to experiment with leading models and orchestration tools and scale AI development and productization across 麻豆原创 and non-麻豆原创 landscapes. .

Vibe on 麻豆原创 Build using the tools of your choice

New local give developers the ability to use agentic tools for development and preferred code assistants, such as Cursor, Windsurf, Claude Code, Cline, and OpenAI Codex — all while maintaining enterprise-grade governance and clean-core alignment.

An 麻豆原创 Build extension pack for Visual Studio (VS) Code is now available to simplify development of CAP, Fiori, UI5, and mobile applications. This makes it easier for VS Code developers to build faster and deploy apps on 麻豆原创 BTP. Looking ahead, we will publish our extensions on the Open VSX Registry to simplify the onboarding of these tools and provide similar native development experiences on other integrated developer environments (IDEs).

Increase velocity with 麻豆原创 Joule for Developers

, the best code assistant for 麻豆原创 development, empowers developers of all skill levels to build more efficiently by leveraging comprehensive, AI-infused developer tools to deliver precise, contextualized outcomes powered by purpose-built, 麻豆原创-centric AI models. This frees-up time to be more productive, creative, and proficient in accelerating ABAP, Java, JavaScript, and visual tool-based application development and automation of 麻豆原创 processes.

New enhancements to 麻豆原创 Joule for Developers, such as within and capabilities, help developers modernize legacy systems and meet enterprise-grade governance and security requirements. These improvements also boost productivity, enhance code quality, and support cloud transformation goals.

Developers working in can now use AI-assisted content creation to quickly generate comments, create workspace content, and summarize documents. AI responses can also draw directly from user-specific folders and workspace content, providing users with trusted insights tailored to their roles, while maintaining compliance and secure role-based document grounding. 

Looking ahead, new ABAP large language models (LLMs) trained on ABAP code and specialized for ABAP development will be released next year.

Connect everything to boost productivity

Developers build the bridges that keep businesses running. We鈥檙e making that work easier and faster with . The following innovations make API and agent-driven automation easier, ensure reliable end-to-end security with real-time monitoring, and boost developer productivity.

We are continuing to embed AI capabilities directly into 麻豆原创 Integration Suite. will now automatically provide targeted recommendations and intelligent healing to resolve common API anomalies such as error spikes, latency surges, or abnormal traffic patterns. Developers can also ask Joule to about the most used APIs to gain deep API insights and understand usage patterns.

MCP Gateway support will enable customers to expose custom APIs and integration flows that can be consumed by AI agents. This feature introduces the ability for customers to enrich custom agents built in Joule Studio or extend Joule Agents by integrating data from third-party and legacy 麻豆原创 systems, composed as MCP tools for smooth agentic consumption. This approach standardizes access, centralizes governance and security, and simplifies discoverability in the .

To jumpstart integration projects, you can access hundreds of out-of-the-box integration adapters as well as pre-built API, event, and integration content on .

Gain security and operations built in, not bolted on

麻豆原创 BTP provides developers with a unified environment to manage applications, secure data, and scale solutions seamlessly across 麻豆原创 and third-party systems. With core centralized application lifecycle, interoperability, security, and administration capabilities, developers can easily and quickly resolve errors and boost team productivity. Read the full list of enhancements in the .

Explore at your own pace

If you missed attending 麻豆原创 TechEd in person or virtually, please be sure to read the full list of announcements in the  and watch .

Wherever you鈥檙e at in your journey, there are easy ways to get started:

• Visit to start a
• Explore and new 
• Register for our upcoming on December 9
• Read more in “Introducing 麻豆原创 Snowflake, New Data Fabric Innovations for 麻豆原创 Business Data Cloud and 麻豆原创 HANA Cloud“

Michael Ameling is general manager and chief product officer of Business Technology Platform and a member of the Extended Board of 麻豆原创 SE.

Enabled by 麻豆原创 Business AI and built on 麻豆原创 Business Technology Platform, the assistant is already delivering faster response times, enhanced supplier experiences and smooth multilingual automation.

With 38 shows across global cities and a workforce of almost 4,000 artists and staff from 80 countries, Cirque du Soleil鈥檚 operations are as dynamic as its performances. Managing more than 70,000 supplier invoices annually鈥攅specially from tour-supporting vendors at residency shows鈥攈as placed increasing pressure on the accounts payable team. Nearly 40 percent of inquiries are from vendors seeking invoice status updates, and these inquiries were often delayed due to limited visibility and manual processing.

To address this, Cirque du Soleil turned to 麻豆原创 Business AI. The company鈥檚 new AI-enabled invoice assistant automates the triage-and-response process for invoice-related emails. It analyzes incoming messages in all languages, identifies the request type, extracts invoice details, determines the status of each invoice and even captures the sentiment of the email, prioritizing those that need attention more urgently. The assistant then generates a proposed response in English and French, significantly reducing the average handling time from 30 minutes to just two minutes per inquiry.

鈥淭he time-consuming research required to identify the payment status of an invoice and its reason was overwhelming,鈥� said Philippe Lalumi猫re, vice president of information technology, Cirque du Soleil Entertainment Group. 鈥淲e were looking for a more efficient way to handle this, and 麻豆原创 Business AI provided us with a simply stunning answer.鈥�

The assistant leverages 麻豆原创 HANA Cloud to store and process structured data derived from incoming emails, along with analysis results and generated responses. 麻豆原创 AI Core foundation supports intelligent automation, enabling the assistant to detect urgency, sentiment and even root causes of payment delays. This has drastically reduced manual workload and improved supplier satisfaction.

“As we partner with Cirque du Soleil on this transformative journey, it鈥檚 inspiring to see how technology is streamlining operations and focusing organizations even more on what they do best鈥攄elivering unforgettable experiences,鈥� said Dr. Philipp Herzig, chief technology officer and chief AI officer at 麻豆原创 SE. 鈥淭his is a perfect example of how data and AI can unlock both creativity and efficiency.鈥�

Key benefits include:

• Efficiency: Automation frees up employee time and accelerates response rates.
• Accuracy: AI minimizes human error and helps ensure timely, contract-compliant payments.
• Multilingual support: Bilingual capabilities enable inclusivity across Cirque鈥檚 global supplier base.
• Scalability: The assistant handles high volumes without additional resources.
• Enhanced experience: Standardized, timely responses foster stronger supplier relationships.

With this innovation, Cirque du Soleil continues to lead not only in the world of live performance but also in operational excellence. 麻豆原创 remains a trusted partner in this journey, helping the company scale its global footprint while staying agile and responsive.

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

Top image courtesy of Cirque du Soleil

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.

Through their innovative implementation of Soley’s Product Mining Platform with 麻豆原创’s supply chain management technologies, they prove that sustainability and profitability can go hand in hand.

The challenge: managing complex product portfolios at scale

CERATIZIT Group, a leading provider of hard material solutions for machining and wear protection, faced a challenge common to many modern manufacturing companies: managing a complex product portfolio with over 65,000 products. The company’s Cutting Tool Solutions division needed a solution to balance economic and ecological objectives while maintaining competitive advantage.

Klaus Lupfer, product lifecycle manager at CERATIZIT Deutschland GmbH, explains the company’s motivation: “In addition to the economic perspective on the product portfolio, the ecological aspect was equally important when partnering with Soley. As a company committed to sustainability for years, we are especially excited about the opportunities that the expansion of product carbon footprint data offers.”

The challenge was not just the product portfolio’s size but also the lack of transparency regarding product performance and sustainability metrics. Employees spent considerable time compiling reports rather than making strategic decisions, while limited insights into critical materials and suppliers prevented efficient phaseout of high-emission products.

AI-powered product portfolio analysis

Munich-based Soley GmbH, a past participant in the 麻豆原创.iO program, 麻豆原创鈥檚 former startup accelerator designed to foster and integrate innovative solutions into the 麻豆原创 ecosystem, developed an innovative response to this challenge. The Soley Product Mining Platform, available as part of 麻豆原创’s extension and add-on solutions, transforms complex product data into actionable insights through three core, AI-driven innovations that enable faster, smarter, and more impactful business decisions.

• AI Advisor uses AI to recommend precise actions鈥攆or example, suggesting which products should be phased out to minimize carbon footprint without sacrificing margins.
• AI Assistant provides an intuitive, natural-language interface that allows users to effortlessly interact with Soley, without requiring deep technical expertise.
• AI Detective analyzes data to uncover hidden dependencies and reveal strategic opportunities, such as identifying which configuration options should be eliminated to optimize both profitability and sustainability.

The Soley Product Mining Platform draws data from 麻豆原创 S/4HANA and 麻豆原创 Business Warehouse, utilizing 麻豆原创 Business Technology Platform (麻豆原创 BTP) as the service layer. 麻豆原创 Datasphere helps consolidate 麻豆原创 data and analytics, while 麻豆原创 Analytics Cloud provides the analytics that form the core of the AI model. This technical architecture enables intelligent data extraction and transformation through 麻豆原创 Databricks, while massive graph analytics enable complex dependency analysis.

“With these 麻豆原创 solutions, we’re delivering a true game changer for the sustainability of the high tech and manufacturing industries,” says Ephraim Triemer, shareholder and advisor of Enterprise Accounts at Soley. “For the first time, our customers can go beyond ESG reporting and take real action鈥攄riving sustainability while staying laser focused on profitability.”

Seamless 麻豆原创 integration creates value

By combining CERATIZIT’s Product Carbon Footprint (PCF) data with financial metrics, the Soley Product Mining Platform creates a digital twin that uncovers opportunities, identifies risks, and analyzes product hierarchies, bills of materials, and carbon footprints. With AI-driven intelligence guidance, Soley developers ensure the platform’s capabilities enable decisions and outcomes that improve both profitability and environmental stewardship.

Earlier this year, Dominik Metzger was appointed as president and Chief Product Officer of 麻豆原创 Supply Chain Management, bringing a renewed focus on resilience, sustainability, and intelligent automation.

鈥淢y chief priority is to ensure that we help customers not only respond to disruptions but also proactively prepare and act,鈥� Metzger said. 鈥淲e can do so by leveraging AI, generative AI, real-time data, and predictive analytics with the power of 麻豆原创鈥檚 technology. Our vision is to build an autonomous supply chain鈥攃onnected, contextualized, and collaborative.鈥�

麻豆原创 SCM leadership driving transformation

The analysis delivered impressive, measurable results that demonstrate the power of combining AI-driven analytics with 麻豆原创 technologies. CERATIZIT discovered an 87% implementation rate of suggested measures, driving product sustainability and supply chain optimization. Simultaneously, the company identified a reduction of over 30% in end-of-life “ballast” products with negative carbon footprints while creating 100% transparency in sustainability data across all elements, product sets, and aggregation levels.

Alexander Springer, CEO of Soley GmbH, explains the strategic significance: “If you know which products are the most critical to the overall success of your business, you can focus on safeguarding the value chain for those products, taking proactive steps to avoid any potential supply risks.”

A model for sustainable digital transformation

The successful partnership between CERATIZIT, Soley, and 麻豆原创 demonstrates how modern companies can achieve both economic and ecological goals through intelligent use of data and AI. The combination of proven 麻豆原创 technologies and innovative analytics solutions creates measurable value for companies of all sizes. For other 麻豆原创 customers and partners, this example shows that sustainability and profitability need not be opposing forces鈥攚ith the right technologies and partners, both objectives can be achieved simultaneously.

Learn more about the latest updates to 麻豆原创 supply chain management. The Soley Product Mining Platform is available on .

According to a Gartner report, 70 to 80 percent of enterprise information lacks structure. This poses challenges for organizations that must unlock the potential and mitigate the risks of content to ensure data-driven decisions.

Take a simple, one-document example: It can cost up to $30 to process a single purchase order by hand. While this number seems small at first, it grows significantly when thousands of documents are processed every month over the years. And it doesn鈥檛 stop there鈥攅ach manual processing increases the risk of errors and potential loss of hours on the mundane job, hence missed opportunities. This leads to a high cost of running “business as usual” and a drag on innovation.

麻豆原创 Document AI: rescue business process

Manually processing documents is not just error-prone; it is also slowing down the response to market shifts, dragging down the creativity of skilled workers, and posing real threats to businesses.

麻豆原创 Document AI enables efficient and agile paperless business processes. AI-powered solutions can speed up business document processing by up to 70 percent through automating the extraction, classification, and processing of data鈥攊magine the boost in productivity, agility, and resilience.

This is not only theory. 麻豆原创 Document AI is enabling leaders to deliver reliable answers because it is grounded in the comprehensive and up-to-date training data of actual quality certificates:

• More than 180,000 annotated document pages
• Over 105 million annotated characters
• 28 countries in the data set
• More than half a billion unstructured documents processed each year

That is equivalent to approximately 8.5 years of manual information extraction and auditing, now available as a standard 麻豆原创 cloud product.

Take De Agostini Publishing as an example. With 麻豆原创 Document AI, the company is now saving around 500 hours per month, and more than 91 percent of purchase order-referred invoices are automatically processed. .

FRoSTA AG is one of the largest manufacturers of frozen foods in Europe. The company leveraged 麻豆原创 Build Process Automation together with 麻豆原创 Document AI, and it takes less than a minute to process听an invoice from arrival to posting. Seventy percent of the invoices processed through automation are booked without any touch. What is even more interesting to note is that it took three months from project ideation to the go-live event. .

More than 34,000 customers are already using 麻豆原创 Business AI to transform the way they work.

From procurement and finance to HR and supply chain, 麻豆原创 Document AI is changing how work gets done. It is natively embedded in 麻豆原创鈥檚 key platforms, making it easier for leaders to orchestrate truly intelligent workflows.

The road ahead: leading with certainty

Leaders know that change is the only constant. Digitizing more paper is not the future of document management. It’s about using unstructured data to our advantage. Looking at the road map, 麻豆原创 Document AI will soon be able to handle even more types of documents. Enhancements such as vision-enabled information extraction, custom large language models (LLMs), and prompting are not too far off either.

Executive takeaway

Winning organizations do have one thing in common, and it is not the use of technology. They recognize that people drive business forward. By removing the manual burden, teams can be empowered to focus on what matters most: customers, strategy, and growth.

Leaders owe it to their teams to let them do what they do best, spending their time coming up with new ideas, making plans, and talking to customers. If employees are still buried in paperwork, it’s time to find out how much it really costs to wait. With 麻豆原创 Document AI, companies can develop the kind of flexibility and strength that today’s markets need.

Learn more about the benefits and new possibilities for business with .

Rashmi Kumari is a principal solution advisor at 麻豆原创.