Artificial Intelligence and Machine Learning at SAP
Achieve real-world results and attain your full potential with embedded AI capabilities across your business that leverage your data responsibly.
SAP Business AI is making remarkable progress in our effort to redefine the way businesses run. More than 27,000 customers already rely on SAP Business AI to achieve unseen business outcomes and achieve real-world business results.
At Sapphire, SAP is announcing extensive new integrations of our natural language generative AI copilot Joule and unveiling a swathe of new Business AI capabilities throughout our comprehensive portfolio of business applications.
Read the announcements from Philipp Herzig, Chief AI Officer
At SAP Sapphire, we announced plans to bring our generative AI copilot Joule together with Microsoft Copilot for Microsoft 365. The deep bi-directional integration will allow employees to get more done in the flow of their work through seamless access to information from interactions with business applications in SAP, as well as Microsoft 365.
Discover the new AI innovations announced at SAP Sapphire for SAP S/4HANA Cloud Public Edition and take part of the customer influence program to embark on a journey of discovery, growth, and endless opportunities for your business.
SAP is pushing the boundaries of AI with the new SAP Foundation Model for structured data, investing in this cutting-edge AI technology to unlock the value of generative AI technology advancements for structured business data. The goal is to deliver a foundation model that is business-centric by design, providing actionable, job-specific insights directly within SAP applications customers use daily.
Together, AWS and SAP are striving to make it easier for customers to adopt the RISE with SAP solution on AWS, to improve the performance and efficiency of SAP workloads running in the cloud and to embed generative AI into an enterprise’s entire portfolio of business-critical applications. Generative AI hub in SAP AI Core integrates with foundation models in Amazon Bedrock to deliver generative AI-driven insights and streamline manual processes for enterprise customers.
SAP Business AI. AI built for business.
Streamline processes, reduce manual efforts, and obtain powerful insights and predictions with comprehensive AI capabilities built right into your SAP business applications.
Relevant
Enhance business performance from day one with AI embedded into SAP applications across your business processes.
Reliable
Optimize business outcomes with AI based on real data from your business and industry – refined by SAP.
Responsible
Put responsible and trusted AI into practice with AI grounded in the highest ethics, security, and privacy standards.
Explore SAP Business AI Across Your Business
Benefit from SAP Business AI built into your core business processes — connecting finance, supply chain, procurement, sales, marketing, human resources, IT and industries.
Optimize and scale your cloud ERP and finance operations.
Optimize your risk-resilient and sustainable supply chain to predict, manage, and deliver at your best.
Create a dynamic, inclusive, and future-ready workforce.
Take the complexity out of the procurement process.
Boost sales productivity and deliver exceptional service.
Transform your digital experience with AI-enabled processes.
Automate tasks, from streamlined finance to predictive manufacturing, talent acquisition to insightful marketing.
Infuse AI into your SAP applications, extensions, and analytics experiences powered by secure business data.
Visit SAP.com and explore the latest AI scenarios available for your business.
Generative AI at SAP
At SAP, our generative AI-powered solutions help your business to become more adaptive so you can deliver real-world results – whether it’s turning rigid processes into perceptive workflows, fragile supply chains into proactive ecosystems, or generic interactions into personalized experiences.
Explore our latest innovations
Learn how generative AI redefines business apps
Follow the free genAI openSAP course
Learn how SAP is addressing both the use of generative AI and its security challenges.
Read the cybersecurity strategy paper
SAP is pushing the boundaries of AI with the new SAP Foundation Model for structured data, investing in this cutting-edge AI technology to unlock the value of generative AI technology advancements for structured business data. The goal is to deliver a foundation model that is business-centric by design, providing actionable, job-specific insights directly within SAP applications customers use daily.
Joule, SAP's Generative AI Copilot
Joule revolutionizes how you interact with SAP business systems, making every touchpoint count and every task simpler.
- Streamline tasks with an AI assistant that knows your unique role and acts as your work copilot across SAP applications.
- Get quick answers and smart insights on-demand, facilitating faster decision-making without bottlenecks.
- Just ask and get tailored content to jumpstart your work, like generating job descriptions, receiving coding assistance, and more.
- Maintain full control over decision-making and your data privacy while accessing generative AI in a safe environment.
AI Foundation in SAP BTP
AI Foundation on SAP BTP is SAP’s all-in-one AI toolkit, offering developers AI that’s ready-to-use, customizable, grounded in business data, and supported by leading generative AI foundation models.
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SAP AI Services
Leverage ready-to-use AI models pre-trained on business-relevant data.
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Generative AI hub
Generative AI hub provides purpose-built AI development tools, enterprise-grade access to leading AI models, and robust data control for creating AI-powered applications on SAP BTP.
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Vector engine
Vector embeddings are mathematical representations used to encode objects into multidimensional vector space. These embeddings capture the relationships and similarities between objects. SAP HANA Cloud Vector Engine facilitates the storage and analysis of complex and unstructured vector data (embeddings). It ensures that embeddings can be seamlessly processed, compared, and utilized in building intelligent data applications and adding more business context in case of GenAI scenarios.
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Knowledge graphs
The knowledge graph of the SAP Datasphere automatically creates an ontology which is a way of linking data in various formats based on various concepts. It represents the relationships in the data, including the inherent business context from SAP application sources like SAP S/4HANA. This is then available to be extended and augmented via an ontology editor to reflect specific attributes within an organization. Knowledge graphs can provide better context to large language models (LLMs) and reduce AI generated hallucinations.
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Trusted & Responsible AI
Our guiding principles of responsibility and trustworthiness serve as a roadmap for building AI-enabled software that is transparent, safe, and designed to protect your data and privacy.
- Read SAP's Global AI Ethics Policy
- Read SAP's Guiding Principles for AI
- Read the SAP AI Ethics Handbook to know how to apply the SAP Global AI Ethics policy
- Follow the free openSAP course on AI Ethics at SAP and earn a badge!
At SAP Sapphire, SAP has updated its global AI ethics policy by adopting the 10 guiding principles of the UNESCO Recommendation on the Ethics of Artificial Intelligence. SAP’s policy was first published in 2018. It governs the company’s use and sale of AI, ensuring that customers remain aligned with global AI principles whileSAP Business AIdelivers fully on its promise of relevance, reliability and responsibility.
The UNESCO guiding principles govern various aspects of AI ethics, including proportionality, safety, fairness, sustainability, privacy, human oversight, transparency, responsibility, awareness and multi-stakeholder collaboration. They aim to ensure that AI technologies are developed and used in ways that respect human rights, promote fairness and contribute to sustainable development.