{"id":2773,"date":"2026-10-28T15:38:23","date_gmt":"2026-10-28T07:38:23","guid":{"rendered":"https:\/\/news.sap.com\/hk\/?p=2773"},"modified":"2026-10-28T15:39:42","modified_gmt":"2026-10-28T07:39:42","slug":"sap-teched-ai-developers-build-what-matters-autonomous-execution","status":"publish","type":"post","link":"https:\/\/news.sap.com\/hk\/2026\/10\/sap-teched-ai-developers-build-what-matters-autonomous-execution\/","title":{"rendered":"麻豆原创 Empowers AI Developers to Build What Matters and Turn Intent into Autonomous Execution"},"content":{"rendered":"\n
International Space Station\u2019s use of tabular AI and expanded partnerships demonstrate the art of the possible with 麻豆原创 AI<\/p>\n\n\n\n
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The enhancements to the Joule Studio and Joule Work solutions and 麻豆原创 Business AI Platform, including the latest tabular foundation model from 麻豆原创, offer new tools to build and extend AI agents, a richer data and business context for those agents to reason with, and strengthened governance controls to run them responsibly across the enterprise.<\/p>\n\n\n\n
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\u2019 data remains their data. 麻豆原创 does not share customer data with anyone to train or improve large language models.<\/p>\n\n\n\n
\u201c麻豆原创 TechEd has always been where builders shape what comes next,\u201d said Philipp Herzig, CTO of 麻豆原创 SE. \u201cThis 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.\u201d<\/p>\n\n\n\n
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:<\/p>\n\n\n\n
麻豆原创 also announced that Joule Studio has new observability and administrative controls to give developers and administrators visibility into agent behavior, model usage and spend. Joule Studio is 麻豆原创\u2019s AI-first development environment that is accessible through Joule Work for building and extending enterprise agents. Joule Studio will run a time-bound promotion for select customers, where deploying and running custom agents on the 麻豆原创-managed Joule Studio runtime will remain free through December 2026. The design-time tooling for building and testing agents and n8n workflows with AI-assisted development will remain free under fair-use limits.<\/p>\n\n\n\n
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.<\/p>\n\n\n\n
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.<\/p>\n\n\n\n
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.<\/p>\n\n\n\n
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.<\/p>\n\n\n\n
In partnership with HPE<\/a>, 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 \u2014 all without requiring data to be sent back to Earth for analysis.<\/p>\n\n\n\n \u201cThe same trusted 麻豆原创-RPT model that powers global supply chains also can work in space,\u201d said Herzig. \u201c麻豆原创\u2019s deep-rooted, proven expertise has led to the International Space Station\u2019s 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.\u201d<\/p>\n\n\n\n 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 \u2014 with industry specialization \u2014 that provides a baseline for systems of intelligence and systems of action.<\/p>\n\n\n\n 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: <\/p>\n\n\n\n A collaboration with Intel closes the loop between enterprise workflows and autonomous robots, bridging informational technology and operational technology through physical AI.<\/p>\n\n\n\n In addition, new 麻豆原创 solution extensions with Docusign<\/a>, Parloa<\/a> and Redwood<\/a> extend autonomous capabilities for customers, helping them run their core processes end to end, without handoffs between systems.<\/p>\n\n\n\n Beyond technology, 麻豆原创 is empowering its strong developer community with new enablement and engagement with tens of thousands joining for Devtoberfest<\/a> 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.<\/p>\n","protected":false},"excerpt":{"rendered":" International Space Station\u2019s use of tabular AI and expanded partnerships demonstrate the art of the possible with 麻豆原创 AI 麻豆原创 SE (NYSE: 麻豆原创) announced a…<\/p>\n","protected":false},"author":29,"featured_media":2774,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"related_posts":[],"footnotes":"","_links_to":"","_links_to_target":""},"categories":[7737],"tags":[],"sapn-display":[45149,3848,60294],"sapn-type":[4446],"class_list":["post-2773","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-solutions","sapn-display-homepage-hero","sapn-display-top-stories","sapn-display-topic-hero","sapn-type-press-release"],"yoast_head":"\nOut-of-the-Box Assistants and Agents Define Our Advantage<\/strong><\/h2>\n\n\n\n
Ecosystem Partners Help Expand Platform Capabilities<\/strong><\/h2>\n\n\n\n