AI in SAP BTP
Build innovative, business AI solutions and experiences
Integrate AI into every aspect of your business operations to significantly enhance productivity. Powered by generative AI, SAP BTP streamlines data management, automates processes, drive innovation, and boosts developer productivity, enabling your teams to achieve more.
With easy access to a comprehensive range of large language models (LLMs), you can develop custom AI solutions tailored to your business needs. AI in SAP BTP is designed with a focus on responsible AI, providing controls to help ensure your AI initiatives are secure and compliant with industry standards.
Accelerate productivity
Boost developer and data professional productivity with generative AI-powered experiences across SAP BTP solutions.
Build business AI solutions
Gain a competitive advantage with AI solutions built using SAP and third-party data.
Develop with responsible AI
Empower your teams with secure access to trusted AI capabilities.
Business-ready, trusted, and intuitive AI capabilities
For enterprises
Harness business-ready and reliable AI capabilities:
- Drive developer and data team efficiency with generative AI-powered capabilities
- Power innovation by anchoring foundational LLMs within your business context
- Centralize AI lifecycle management with secure and responsible access to AI
For developers
Supercharge application development with integrated AI capabilities:
- Enhance developer productivity with generative AI-powered tools for all your application development tools
- Extend solutions with custom AI using robust SDKs for ABAP, Python, and JavaScript
- Ensure reliability of AI output by combining LLM prompts with templates and responsible AI tools
SAP Business AI news
Stay informed on the latest business AI trends, best practices, and innovations from SAP.
See how customers drive positive outcomes with AI in SAP BTP
90% faster root cause analysis
Discover how AMD solves supply chain hurdles with its generative AI supply chain troubleshooter, saving 3,120 productive hours.
2.7M documents evaluated and classified automatically
Find out how the City of Hamburg quickly evaluates government aid applications with AI-based decisions and automated processes.
Transforming care for Parkinson's disease patients
Read how DXC Technology uses AI to support clinical decisions and improve the quality of life for patients and their caretakers.
Reducing planning process times significantly
See how Henkel uses SAP BTP solutions and AI to enhance resiliency across its value chain, enabling more efficient global campaigns.
Explore AI capabilities across SAP BTP
See how you can benefit from AI built into your core business processes — connecting finance, supply chain, procurement, sales, marketing, human resources, and IT.
Joule is a natural-language, generative AI copilot embedded throughout SAP’s cloud enterprise portfolio. In SAP BTP, Joule delivers code generation, prebuilt integration content, fine-tuned process observability, data insights, and admin support from across SAP solutions and third-party sources, all supported by natural language interactions.
With SAP Build, you can extend your organization-specific workflows by creating your own custom skills and integrate any third-party system into Joule. Soon, you'll also be able to develop custom autonomous AI agents that can solve complex workflows and collaborate with other agents in Joule.
The generative AI hub in SAP AI Core and SAP AI Launchpad provides smooth, trusted, and scalable management of AI artifacts, such as models, workloads, and prompts. It enables AI-powered extensions of your applications and custom-built AI solutions on SAP Business Technology Platform.
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 storing and analyzing complex and unstructured vector data (embeddings). It helps ensure that embeddings can be smoothly processed, compared, and utilized in building intelligent data applications and adding more business context in the case of generative AI scenarios.
A knowledge graph organizes real-world entities and their relationships, enabling generative AI applications to leverage interconnected data. These graphs can improve content generation, personalize responses in chatbots and co-pilots, enrich creative AI models, and refine contextual understanding relevant to generative AI applications. By clarifying entity connections, a knowledge graph engine empowers models to generate more coherent and contextually relevant content, leading to more accurate and interpretable AI solutions.
The knowledge graph engine in SAP HANA Cloud enables efficient storage and processing of large-scale graph data, allowing developers to enhance natural language interactions with business context through this multi-model capability.
SAP Datasphere utilizes the knowledge graph engine to enable prebuilt knowledge graphs for data onboarded, transformed, and integrated from SAP application sources such as SAP S/4HANA.
SAP AI Services is a portfolio of strategic services and applications that automate and optimize business processes and enrich the customer experience. With SAP AI Services, you can predict and classify data records, automate the processing of enormous amounts of business documents, and get recommendations based on users' browsing history or item descriptions.
The SAP Foundation Model aims to generate accurate predictions from tabular data captured in SAP applications for a wide range use cases. It overcomes the limitations of traditional AI, which focuses on specific tasks, and LLMs, which excel with unstructured data but struggle with structured business data.