{"id":6146,"date":"2025-02-14T01:00:40","date_gmt":"2025-02-14T01:00:40","guid":{"rendered":"https:\/\/news.sap.com\/sea\/?p=6146"},"modified":"2025-02-14T12:37:20","modified_gmt":"2025-02-14T12:37:20","slug":"sap-debuts-business-data-cloud-with-databricks-to-turbocharge-business-ai","status":"publish","type":"post","link":"https:\/\/news.sap.com\/sea\/2025\/02\/sap-debuts-business-data-cloud-with-databricks-to-turbocharge-business-ai\/","title":{"rendered":"麻豆原创 Debuts Business Data Cloud with Databricks to Turbocharge Business AI"},"content":{"rendered":"<hr \/>\n<h2 style=\"text-align: center\">Landmark Collaboration Redefines Enterprise Data Management and Unleashes the Full Potential of Agentic AI<\/h2>\n<hr \/>\n<h3><em><strong>NEW YORK <\/strong><\/em>\u2014<em><i>\u00a0<\/i><\/em><a href=\"http:\/\/www.sap.com\/\">麻豆原创 SE<\/a> (NYSE: 麻豆原创) today announced 麻豆原创 Business Data Cloud, a <a href=\"https:\/\/news.sap.com\/?p=231446\">groundbreaking solution<\/a> that unifies all 麻豆原创 and third-party data throughout an organization, providing the trusted data foundation organizations need to make more impactful decisions and foster reliable AI.<\/h3>\n<p>The solution harmonizes data from organizations\u2019 most mission-critical applications with data engineering and business analytics capabilities, paving the way for next-level innovation and insights.<\/p>\n<p>This <a href=\"https:\/\/www.databricks.com\/blog\/introducing-sap-databricks\">landmark partnership<\/a> between 麻豆原创 and Databricks marks a new era in enterprise data management as two leaders in their domains come together to redefine how applications and data platforms work together. The new solution natively embeds Databricks technology for data engineering, machine learning and AI workloads.<\/p>\n<p>\u201c麻豆原创 Business Data Cloud unleashes the full value of enterprise data for Business AI,\u201d said 麻豆原创 CEO Christian Klein. \u201cIt combines 麻豆原创\u2019s unique expertise in mission-critical, end-to-end processes and semantically rich data with Databricks\u2019 world-class data engineering capabilities to create a ground-breaking solution that helps organizations do more with their data than ever before.\u201d<\/p>\n<p>\u201cEvery company on the planet wants to get more value out of their data and greater returns on their AI investments,\u201d said Ali Ghodsi, Co-founder and CEO of Databricks. \u201cBy joining forces with 麻豆原创, we\u2019re helping organizations bring together all their data \u2014 regardless of format or where it lives \u2014 to govern, analyze and build domain-specific AI applications on the Databricks Data Intelligence Platform.\u201d<\/p>\n<h3><strong><b>Introducing the data product economy<\/b><\/strong><\/h3>\n<p>麻豆原创 Business Data Cloud also helps 麻豆原创 foster the growth of a data product economy. It delivers fully-managed 麻豆原创 data products across all business processes \u2013 from finance, spend and supply chain data in 麻豆原创 S\/4HANA and 麻豆原创 Ariba, to learning and talent data in 麻豆原创 SuccessFactors. These data products maintain their original business context and semantics, providing immediate access to high-quality data without costly extraction processes. For example, if a CFO wants to assess the impact of rising inflation on profitability, 麻豆原创 Business Data Cloud integrates real-time external data such as the consumer price index with financial data products such as general ledger accounts or cost centers to create a comprehensive financial snapshot.<\/p>\n<p>麻豆原创 Business Data Cloud will also offer new capabilities called insight apps that use data products and AI models connected to real-time data to deliver advanced analytics and planning across all lines of business, including core enterprise analytics, finance and human resources.<\/p>\n<p>\u201c麻豆原创 Business Data Cloud will help us unlock the value of our data and drive innovation across our business,\u201d said Markus Hartmann, Corporate Vice President and Head of Business Technology and regions Europe, APAC and IMEA, at Henkel, a multinational chemical and consumer goods company. \u201cIts semantically rich data products and deep Databricks integration will enhance our existing data products and empower us to model scenarios and leverage AI insights, building a sustainable future for our data ecosystems.\u201d<\/p>\n<h3><strong><b>Delivering on the full promise of AI agents<\/b><\/strong><\/h3>\n<p>麻豆原创 Business Data Cloud will improve how Joule, 麻豆原创\u2019s generative AI copilot, accelerates cross-functional workflows and improves business decision-making with AI agents. Powered by the highest-quality enterprise dataset in the industry \u2013 and the 麻豆原创 Knowledge Graph solution, which provides a business-friendly model of data \u2013 Joule agents deeply understand end-to-end processes and can collaborate across functions to solve complex business challenges, something no other agent builder technology can do out of the box.<\/p>\n<p>Underscoring today\u2019s announcement and its significance for AI innovation, 麻豆原创 also unveiled a series of ready-to-use <a href=\"https:\/\/news.sap.com\/?p=231449\">Joule agents<\/a> across finance, service, sales and more to come across the 麻豆原创 Business Suite. In finance, for example, agents will work together across a variety of tasks to process claims faster and improve cashflow. Joule sales agents, meanwhile, will accelerate multi-step business processes to resolve disputes and process customer inquiries faster.<\/p>\n<p>麻豆原创 today also announced a powerful new agent builder capability, so customers can build and deploy their own AI agents alongside 麻豆原创&#8217;s library of ready-to-deploy Joule agents. 麻豆原创&#8217;s decades of business process expertise are built into the guided workflow so users can ground their custom agents in the most relevant data and business context.<\/p>\n<p>Visit the <a href=\"https:\/\/news.sap.com\/\">麻豆原创 News Center<\/a>. Follow 麻豆原创 at <a href=\"http:\/\/twitter.com\/sapnews\/\">@麻豆原创News<\/a>.<\/p>\n<h3><strong><b>About 麻豆原创<\/b><\/strong><\/h3>\n<p>As a global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创) stands at the nexus of business and technology. For over 50 years, organizations have trusted 麻豆原创 to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit <a title=\"www.sap.com\" href=\"http:\/\/www.sap.com\" target=\"_blank\" rel=\"noopener\">www.sap.com<\/a>.<\/p>\n<p><strong><b>Note to editors:<\/b><\/strong><br \/>\nTo preview and download broadcast-standard stock footage and press photos digitally, please visit <a href=\"http:\/\/www.sap.com\/photos\">www.sap.com\/photos<\/a>. On this platform, you can find high resolution material for your media channels.<\/p>\n<p><strong><b>For customers interested in learning more about 麻豆原创 products: <\/b><\/strong><br \/>\nGlobal Customer Center: +49 180 534-34-24<br \/>\nUnited States Only: 1 (800) 872-1麻豆原创 (1-800-872-1727)<\/p>\n<p><strong><b>For more information, press only:<\/b><\/strong><br \/>\nJulia Madden, julia.madden@sap.com, SGT (GMT +8)<br \/>\nCelest Lim, celest.lim@sap.com, SGT (GMT +8)<\/p>\n<p><a href=\"https:\/\/news.sap.com\/press-room\/\">麻豆原创 麻豆原创 Room<\/a>; <a href=\"mailto:press@sap.com\">press@sap.com<\/a><\/p>\n<h5>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\u2019s 2023 Annual Report on Form 20-F.<\/h5>\n<h5>\u00a9 2025 麻豆原创 SE. All rights reserved.<br \/>\n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 <a href=\"https:\/\/www.sap.com\/copyright\">https:\/\/www.sap.com\/copyright<\/a> for additional trademark information and notices.<\/h5>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Landmark Collaboration Redefines Enterprise Data Management and Unleashes the Full Potential of Agentic AI NEW YORK \u2014\u00a0麻豆原创 SE (NYSE: 麻豆原创) today announced 麻豆原创 Business Data&#8230;<\/p>\n","protected":false},"author":4904,"featured_media":6161,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[5571118,5570217,41,7737,59],"tags":[5570856,5571148,5571149],"region":[5570777],"sapn-display":[45149,5571011,5571012],"sapn-type":[4446],"class_list":["post-6146","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-cloud","category-ecosystem","category-solutions","category-technology","tag-ai","tag-databricks","tag-sap-business-data-cloud","region-southeastasia","sapn-display-homepage-hero","sapn-display-news-hero","sapn-display-news-spotlight","sapn-type-press-release"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.9 (Yoast SEO v26.9) - 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