SAP Debuts Business Data Cloud with Databricks to Turbocharge Business AI
SAP SE (NYSE: SAP) has announced SAP Business Data Cloud, a revolutionary solution that unifies SAP and third-party data across organizations, created in partnership with Databricks. The solution integrates Databricks' technology for data engineering, machine learning, and AI workloads.
The platform introduces a data product economy, delivering fully-managed SAP data products across business processes from SAP S/4HANA, SAP Ariba, and SAP SuccessFactors. It will enhance Joule, SAP's generative AI copilot, by enabling AI agents to understand end-to-end processes and collaborate across functions.
SAP also unveiled ready-to-use Joule agents for finance, service, and sales, along with a new agent builder capability for customers to develop custom AI agents. The solution maintains data context and semantics, providing immediate access to high-quality data without costly extraction processes.
SAP SE (NYSE: SAP) ha annunciato SAP Business Data Cloud, una soluzione rivoluzionaria che unifica i dati SAP e di terze parti all'interno delle organizzazioni, creata in collaborazione con Databricks. La soluzione integra la tecnologia di Databricks per l'ingegneria dei dati, l'apprendimento automatico e i carichi di lavoro di intelligenza artificiale.
La piattaforma introduce un'economia dei prodotti dati, offrendo prodotti dati SAP completamente gestiti attraverso i processi aziendali di SAP S/4HANA, SAP Ariba e SAP SuccessFactors. Migliorerà Joule, il copilota di intelligenza artificiale generativa di SAP, consentendo agli agenti AI di comprendere i processi end-to-end e collaborare tra le funzioni.
SAP ha anche presentato agenti Joule pronti all'uso per finanza, servizi e vendite, insieme a una nuova funzionalità di creazione di agenti per consentire ai clienti di sviluppare agenti AI personalizzati. La soluzione mantiene il contesto e la semantica dei dati, fornendo accesso immediato a dati di alta qualità senza costosi processi di estrazione.
SAP SE (NYSE: SAP) ha anunciado SAP Business Data Cloud, una solución revolucionaria que unifica los datos de SAP y de terceros en las organizaciones, creada en colaboración con Databricks. La solución integra la tecnología de Databricks para la ingeniería de datos, el aprendizaje automático y las cargas de trabajo de inteligencia artificial.
La plataforma introduce una economía de productos de datos, ofreciendo productos de datos de SAP completamente gestionados a través de los procesos empresariales de SAP S/4HANA, SAP Ariba y SAP SuccessFactors. Mejorará Joule, el copiloto de inteligencia artificial generativa de SAP, permitiendo que los agentes de IA comprendan los procesos de extremo a extremo y colaboren entre funciones.
SAP también presentó agentes Joule listos para usar para finanzas, servicios y ventas, junto con una nueva capacidad de creación de agentes para que los clientes desarrollen agentes de IA personalizados. La solución mantiene el contexto y la semántica de los datos, proporcionando acceso inmediato a datos de alta calidad sin costosos procesos de extracción.
SAP SE (NYSE: SAP)는 SAP Business Data Cloud를 발표했습니다. 이 혁신적인 솔루션은 SAP와 제3자 데이터를 조직 내에서 통합하며, Databricks와 협력하여 개발되었습니다. 이 솔루션은 데이터 엔지니어링, 기계 학습 및 AI 작업을 위한 Databricks의 기술을 통합합니다.
이 플랫폼은 데이터 제품 경제를 도입하여 SAP S/4HANA, SAP Ariba 및 SAP SuccessFactors의 비즈니스 프로세스를 통해 완전히 관리되는 SAP 데이터 제품을 제공합니다. 이는 SAP의 생성 AI 코파일럿 Joule을 향상시켜 AI 에이전트가 엔드 투 엔드 프로세스를 이해하고 기능 간 협업을 가능하게 합니다.
SAP는 재무, 서비스 및 판매를 위한 즉시 사용 가능한 Joule 에이전트와 고객이 사용자 정의 AI 에이전트를 개발할 수 있는 새로운 에이전트 빌더 기능도 발표했습니다. 이 솔루션은 데이터의 맥락과 의미를 유지하여 비싼 추출 프로세스 없이 고품질 데이터에 즉시 접근할 수 있도록 합니다.
SAP SE (NYSE: SAP) a annoncé SAP Business Data Cloud, une solution révolutionnaire qui unifie les données SAP et tierces au sein des organisations, créée en partenariat avec Databricks. La solution intègre la technologie de Databricks pour l'ingénierie des données, l'apprentissage automatique et les charges de travail d'IA.
La plateforme introduit une économie de produits de données, offrant des produits de données SAP entièrement gérés à travers les processus métiers de SAP S/4HANA, SAP Ariba et SAP SuccessFactors. Elle améliorera Joule, le copilote d'IA générative de SAP, en permettant aux agents IA de comprendre les processus de bout en bout et de collaborer entre les fonctions.
SAP a également dévoilé des agents Joule prêts à l'emploi pour la finance, le service et les ventes, ainsi qu'une nouvelle capacité de création d'agents permettant aux clients de développer des agents IA personnalisés. La solution maintient le contexte et la sémantique des données, offrant un accès immédiat à des données de haute qualité sans processus d'extraction coûteux.
SAP SE (NYSE: SAP) hat SAP Business Data Cloud angekündigt, eine revolutionäre Lösung, die SAP- und Drittanbieter-Daten in Organisationen vereint, die in Partnerschaft mit Databricks entwickelt wurde. Die Lösung integriert die Technologie von Databricks für Datenengineering, maschinelles Lernen und KI-Arbeitslasten.
Die Plattform führt eine Datenproduktwirtschaft ein, die vollständig verwaltete SAP-Datenprodukte über Geschäftsprozesse von SAP S/4HANA, SAP Ariba und SAP SuccessFactors bereitstellt. Sie wird Joule, SAPs generativen KI-Co-Piloten, verbessern, indem sie KI-Agenten ermöglicht, End-to-End-Prozesse zu verstehen und funktionsübergreifend zusammenzuarbeiten.
SAP hat auch einsatzbereite Joule-Agenten für Finanzen, Service und Vertrieb sowie eine neue Agentenbau-Funktionalität vorgestellt, mit der Kunden benutzerdefinierte KI-Agenten entwickeln können. Die Lösung erhält den Datenkontext und die Semantik und bietet sofortigen Zugriff auf hochwertige Daten, ohne kostspielige Extraktionsprozesse.
- Partnership with Databricks enhances SAP's data engineering and AI capabilities
- Introduction of fully-managed data products across multiple business processes
- Launch of ready-to-use Joule AI agents for finance, service, and sales
- New agent builder capability enabling custom AI development
- None.
Insights
The launch of SAP Business Data Cloud marks a transformative shift in enterprise data management, positioning SAP at the forefront of the AI-driven business transformation wave. This strategic partnership with Databricks creates a unique value proposition by combining SAP's deep business process expertise with Databricks' leading data engineering capabilities.
The introduction of data products across business processes represents a paradigm shift in enterprise data utilization. By maintaining business context and semantics in data products, SAP is effectively creating a new standard for enterprise data management that could significantly reduce data integration costs and accelerate AI implementation timelines. This approach addresses a critical pain point in enterprise AI adoption - the challenge of maintaining data context while enabling advanced analytics.
The enhancement of Joule with AI agents demonstrates SAP's commitment to practical AI implementation. The ability to deploy ready-to-use agents across finance, service, and sales functions, combined with custom agent building capabilities, provides a compelling competitive advantage. This positions SAP uniquely against cloud competitors who lack the depth of business process understanding that SAP has accumulated over decades.
From a market perspective, this initiative could significantly impact SAP's recurring revenue streams through new data management and AI capabilities. The partnership with Databricks also creates a powerful ecosystem play, potentially leading to increased platform stickiness and higher customer lifetime value. For investors, this represents a strategic evolution of SAP's business model, moving beyond traditional ERP to become a comprehensive enterprise data and AI platform provider.
Landmark Collaboration Redefines Enterprise Data Management and Unleashes the Full Potential of Agentic AI
This landmark partnership between SAP 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.
"SAP Business Data Cloud unleashes the full value of enterprise data for Business AI," said SAP CEO Christian Klein. "It combines SAP's unique expertise in mission-critical, end-to-end processes and semantically rich data with Databricks' world-class data engineering capabilities to create a ground-breaking solution that helps organizations do more with their data than ever before."
"Every company on the planet wants to get more value out of their data and greater returns on their AI investments," said Ali Ghodsi, Co-founder and CEO of Databricks. "By joining forces with SAP, we're helping organizations bring together all their data — regardless of format or where it lives — to govern, analyze and build domain-specific AI applications on the Databricks Data Intelligence Platform."
Introducing the data product economy
SAP Business Data Cloud also helps SAP foster the growth of a data product economy. It delivers fully-managed SAP data products across all business processes – from finance, spend and supply chain data in SAP S/4HANA and SAP Ariba, to learning and talent data in SAP 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, SAP 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.
SAP 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.
"SAP Business Data Cloud will help us unlock the value of our data and drive innovation across our business," said Markus Hartmann, Corporate Vice President and Head of Business Technology and regions
Delivering on the full promise of AI agents
SAP Business Data Cloud will improve how Joule, SAP's 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 – and the SAP Knowledge Graph solution, which provides a business-friendly model of data – 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.
Underscoring today's announcement and its significance for AI innovation, SAP also unveiled a series of ready-to-use Joule agents across finance, service, sales and more to come across the SAP 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.
SAP today also announced a powerful new agent builder capability, so customers can build and deploy their own AI agents alongside SAP's library of ready-to-deploy Joule agents. SAP'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.
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About SAP
As a global leader in enterprise applications and business AI, SAP (NYSE:SAP) stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit www.sap.com.
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FAQ
What is SAP Business Data Cloud and how does it integrate with Databricks?
How will SAP Business Data Cloud benefit enterprise data management?
What new AI capabilities does SAP's Business Data Cloud introduce?
How does SAP Business Data Cloud support the data product economy?
