麻豆原创 Business AI Platform gives organizations one place to build, contextualize and govern AI across 麻豆原创 and third-party environments. With Joule Studio, business users and developers can use no-code and pro-code tools to build and extend agents, choosing from more than 70 AI models. Customers in the Joule Studio early adopter program also can design and run n8n workflows in Joule Studio, with broader availability to follow. The 麻豆原创 Business Data Cloud and 麻豆原创 Knowledge Graph solutions ground those agents in trusted business data and context, helping organizations select the right model for each use case and better manage AI value and consumption. Importantly, 麻豆原创 customers鈥� data remains their data. 麻豆原创 does not share customer data with anyone to train or improve large language models.

鈥溌槎乖� TechEd has always been where builders shape what comes next,鈥� said Philipp Herzig, CTO of 麻豆原创 SE. 鈥淭his year, we are showing how we are moving from AI learning your business to running it. Joule Work is where you put your intent and get work done, in one experience across the entire 麻豆原创 landscape and beyond. That is the shift we are delivering at scale. Everything underneath runs on 麻豆原创 Business AI Platform, delivering faster time to value through out-of-the-box business understanding, higher accuracy, enterprise-readiness that is secure, governed and compliant from the first deployment, and a unique context layer built on over 50 years of process and industry expertise, encoded into every agent action. This is AI built where real work happens.鈥�

Joule Work and Joule Studio Make the Autonomous Enterprise Real

New capabilities for Joule Work will help make AI agents more effective at handling complex business processes via open protocols including Agent2Agent (A2A) and Model Context Protocol (MCP). These innovations advance Joule Work to better understand context, make decisions and execute multistep business workflows across enterprise systems and business domains:

• New agentic thinking capabilities that plan and orchestrate the steps assistants and agents need to reliably complete complex, multistep business workflows across 麻豆原创 landscapes.
• New capabilities in 麻豆原创 Knowledge Graph will incorporate data from additional 麻豆原创 and non-麻豆原创 sources that are unique to each customer. Users can query and explore their customized data in natural language and get accurate answers grounded in their own information.
• Advancements in interoperability allow third-party agents to securely invoke Joule Agents through a governed agent gateway. This enforced access control enables agents from different providers to collaborate across business workflows without sacrificing governance or control.
• New 麻豆原创 Enterprise AI Gateway solution will extend governance to AI interactions, offering a centralized way to manage AI traffic across the enterprise that will consolidate authentication, policy enforcement, routing, monitoring, usage tracking and auditing.
• New Joule Assistant and 麻豆原创 AI Agent Hub expand governance capabilities, and a new AI Governance Assistant helps customers meet compliance requirements for the EU AI Act. These are designed to address critical barriers to scaling enterprise AI: keeping AI systems classified, compliant and operating within defined organizational guardrails and context.

麻豆原创 Business Data Cloud as the Grounding Engine of the Autonomous Enterprise

麻豆原创 Business Data Cloud Ontology Manager in 麻豆原创 Business Data Cloud (麻豆原创 BDC) will provide an AI-native authoring experience for building ontologies across 麻豆原创 and third-party data. By helping AI understand how data from different teams, systems and applications relate to one another, AI agents can more accurately reason and make decisions across the enterprise. The solutions complement 麻豆原创 Knowledge Graph, which provides rich business context for 麻豆原创 data.

Additionally, 麻豆原创 is expanding its lakehouse capabilities with Dremio, adding native support for Apache Iceberg and Apache Polaris plus a high-performance, federated query engine that will enable unified data access without moving or copying the data. 麻豆原创 expands its partnership with Databricks, bringing the full scope and latest innovations of data engineering and enterprise AI capabilities into 麻豆原创 Business Data Cloud as 麻豆原创 Databricks. Core innovations such as Lakeflow, Agent Bricks, Unity Gateway, and Lakebase will help customers to simplify data management and provide a strong data foundation for their AI journey. With a deeper integration to 麻豆原创 Business Data Cloud, a new 麻豆原创 Application Data Foundation, as well as an integration between Joule and Genie, 麻豆原创 and Databricks are helping customers establish an enterprise-wide lakehouse as the foundation for the Autonomous Enterprise and Joule Work.

The 麻豆原创 Reltio solution, recently announced at 麻豆原创 Connect, will bring multidomain master data management to 麻豆原创 BDC. It unifies and enriches customer, supplier and product records across 麻豆原创 and non-麻豆原创 systems into trusted, reusable data products that can power applications and AI agents.

Tabular Foundation Model Trusted for Business, Validated in Space

麻豆原创 announced its latest tabular AI model, 麻豆原创-RPT-2.0, which will expand beyond classification and regression to support anomaly and outlier detection, and richer AI-powered analysis through embeddings. These native, multi-table capabilities will further reduce manual engineering while delivering faster, deeper insights from structured data. In addition, a new 麻豆原创-RPT-TS model will help customers predict values across time-indexed business metrics for key forecasting use cases using the 麻豆原创 Integrated Business Planning solution without requiring custom machine learning.

In partnership with HPE, 麻豆原创 also announced the deployment of 麻豆原创-RPT on the HPE Spaceborne Computer-2 aboard the International Space Station (ISS), one of the most significant edge-compute validations of any enterprise AI model to date. 麻豆原创-RPT is planned to run directly onboard the ISS to support anomaly triage, predict issues before failures escalate, reconstruct missing sensor values from historical data, and generate explainable mission-health reports for astronauts and ground teams 鈥� all without requiring data to be sent back to Earth for analysis.

鈥淭he same trusted 麻豆原创-RPT model that powers global supply chains also can work in space,鈥� said Herzig. 鈥溌槎乖粹�檚 deep-rooted, proven expertise has led to the International Space Station鈥檚 use of our tabular foundation model to predict potential mission-critical failures in orbit. With 麻豆原创-RPT and TabPFN from Prior Labs, we bring the unique capabilities of tabular AI into the enterprise and across every frontier.鈥�

Out-of-the-Box Assistants and Agents Define Our Advantage

For five decades, 麻豆原创 has built the systems of record that run your business. We will deliver, out of the box, a suite of assistants and agents across five horizontal domains all running on 麻豆原创 Business AI Platform 鈥� with industry specialization 鈥� that provides a baseline for systems of intelligence and systems of action.

Ecosystem Partners Help Expand Platform Capabilities

The global 麻豆原创 partner ecosystem brings new capabilities to the ongoing operation and extension of solutions on 麻豆原创 Business AI Platform, helping customers advance toward the Autonomous Enterprise. At 麻豆原创 TechEd, the following partner announcements were highlighted:

A collaboration with Intel closes the loop between enterprise workflows and autonomous robots, bridging informational technology and operational technology through physical AI.

In addition, new 麻豆原创 solution extensions with , and extend autonomous capabilities for customers, helping them run their core processes end to end, without handoffs between systems.

Beyond technology, 麻豆原创 is empowering its strong developer community with new enablement and engagement with tens of thousands joining for Devtoberfest leading up to 麻豆原创 TechEd, new reference architectures, tutorials and hands-on opportunities attendees can try onsite at the event and at home.

The post 麻豆原创 Empowers AI Developers to Build What Matters and Turn Intent into Autonomous Execution appeared first on 麻豆原创 Africa News Center.

In a series of compelling video conversations, recognized industry experts, customers, and 麻豆原创 executives shared especially timely and no-nonsense insights into the business value of procurement agility, reliability, and transparency. The agenda featured thought-provoking geopolitical trend talks, lessons learned from customers, solution strategy updates, and product demonstrations. This is the first in a series summarizing the .

New Procurement Experience: Agile, Reliable, Transparent

First up was Chris Haydon, president of 麻豆原创 Procurement Solutions, who assured listeners that 鈥渢ogether, we will get through all these challenging times.鈥� Acknowledging COVID-19, he said that its increasing impact mirrored our growing realization of how connected and dependent we are on each other.

鈥淭he pace of the world is demanding changes, and 麻豆原创 is uniquely positioned to help you manage those changes with intelligent spend management,鈥� Haydon said. 鈥淚ntelligent spend management is the reinvention of the procurement experience. It鈥檚 a thoughtful and deliberate realization that we need to move beyond only focusing on creating simple screens and user interfaces, and instead empower procurement to succeed amid today鈥檚 known disruptions and the unknown disruptions of tomorrow.鈥�

As an example of 麻豆原创鈥檚 procurement commitment, he mentioned the company鈥檚 decision to open access to , allowing buyers worldwide to post their immediate sourcing needs to which any of the 4 million suppliers on can respond with no fees through June 30, 2020.

鈥溌槎乖� is deeply committed to help you manage the complexities and mitigate the risks that disruption and accelerated change is inevitably bringing,鈥� he said. 鈥淲e鈥檙e hard at work with customers to help them understand how to use Ariba Network to identify supplies at risk, review supply chain data, and rapidly develop contingency plans.鈥�

Unlock Insights with Community of Intelligence

Haydon said that it was time for procurement to become the epicenter of ideas and collaboration, owning the intersection of innovation and commerce between organizations. He called this 鈥渁 profound and forward-looking change鈥� in how people look at procurement, using the technology for tasks that can and should be automated so that businesses can apply human expertise where it is needed for greatest impact.

鈥淭he only way to make this possible is to get the process out of the way and get more insights into the hands of you, your training partners, and every part of your business. That鈥檚 the ultimate goal of intelligent spend management鈥� reimagining processes to let intelligence do more work, so we can do more work better,鈥� Haydon said. 鈥淲e want to embed sustainability and risk context into every single supply chain event and reshape how we connect with trading partners by driving collaboration deeper into our supply chains and truly unlocking the power of community intelligence.鈥�

Committed to Customer-First Experience

Having walked in the customer鈥檚 shoes, Haydon said that he understood their challenges, and with its co-CEOS at the helm, 麻豆原创 was more focused than ever at 鈥渆nsuring the customer experience is the true measurement of our success.鈥�

鈥淎riba Network is the most powerful and effective network of its kind,鈥� he said. 鈥淪ensing the opportunity to combine, streamline, and make your businesses run even more effectively and efficiently, we鈥檝e pulled together 麻豆原创 Ariba, 麻豆原创 Fieldglass, and 麻豆原创 S/4HANA operational procurement under a single organization with one clear vision鈥� for intelligent spend management.鈥�

Haydon closed with the promise to continue collaborating with customers as early adopters and partners.

鈥淵our voices, insights, and ideas are key in helping us reshape procurement. If we can combine the depth of knowledge in our collective minds and the depth of feeling in our hearts, and our understanding of this new world of rapid disruption and accelerated changes, there鈥檚 nowhere we can鈥檛 go together. We believe in a future where procurement sits at the heart of the business, and together we can make this future possible.鈥�

HPE: Path to Transformation

For a great example of intelligent spend management in action, I pivoted to Lucille Trickett, senior director of Global Solutions for the Office of Legal Affairs and Administration at Hewlett Packard Enterprise (HPE). In her video, she shared how HPE is using a suite of intelligent solutions from 麻豆原创 to holistically view and manage multiple categories of spend from indirect, travel and expense, contingent labor, and service providers.

As a long-time 麻豆原创 Ariba customer and partner, Trickett said that HPE鈥檚 transformation to the cloud was originally slated for two phases, starting with source-to-contract and followed by procure-to-pay processes. The company then decided to bring in . The second phase coincided with an overall next-generation IT transformation at HPE that would also consolidate enterprise resource planning (ERP) systems on . One of the objectives was to dramatically simplify and consolidate the customer, vendor, and partner master data structure.

鈥淲e now have a holistic view of our relationship with an entity, regardless of whether they鈥檙e a customer, partner, supplier, or all of the above. We took the time and effort to clean up our vendor master database and the new one was optimized by 39 percent,鈥� said Trickett. 鈥淕iven the size and scale of the [procure-to-pay] project, it was absolutely imperative that the business unit and global functions within the HPE company be ready for these changes.鈥�

Trickett called the transformation journey an incredible experience for everyone involved: 鈥淣ot only did we deliver everything we had committed to deliver in a changing environment, but we also found opportunities to drive additional innovation as we delved deep to solve issues along the way. We also strengthened our partnerships and collaboration, not just internally within HPE, but more importantly with our 麻豆原创 family. I鈥檓 looking forward to working with the 麻豆原创 team to design and innovate in the procurement arena for the future.鈥�

Holistic Procurement View

During his introduction to Trickett鈥檚 talk, Haydon emphasized the importance of having a holistic view of procurement, because 鈥渋t can help identify opportunities for economies of scale, enable better spend decisions, and drive better business outcomes.鈥�

His thoughts were particularly relevant given fast-changing events in the world today: 鈥淲hen we at 麻豆原创 tout our innovations and our never-ending commitment to make the procurement process as efficient and effective as possible, we do so to help protect the continuity of your business, employee livelihoods, and economies. It鈥檚 a bold charge forward, but the times call for boldness.鈥�

To echo Haydon鈥檚 closing: Take care, stay healthy, and enjoy the 麻豆原创 Ariba Live virtual experience.

This article first appeared on the 麻豆原创 News Center.

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