The initiative will expand hands-on training and certification programs, including partnerships with online learning platforms such as Coursera, to ensure professionals are ready for the demands of an AI-driven economy.
Global enterprise software leader SAP SE introduced comprehensive AI-powered enhancements to its SAP Build solution, along with new data integration and intelligent automation capabilities powered by Joule Agents. These innovations are designed to help developers move from idea to reality with unprecedented speed and efficiency, while transforming how businesses leverage data and artificial intelligence.
As AI continues to reshape industries and the nature of work, SAP also announced a major global skills initiative. It promises to equip 12 million people around the world with AI-enabled skills by 2030. The initiative will expand hands-on training and certification programs, including partnerships with online learning platforms such as Coursera, to ensure professionals are ready for the demands of an AI-driven economy.
New features in SAP Build, SAP’s flagship enterprise development and automation platform, give developers more flexibility to build, extend, and automate using their favorite tools and frameworks. Developers using platforms such as Cursor, Claude Code, Cline, Windsurf, and Visual Studio Code can now integrate SAP Build through the new Model Context Protocol Server and extensions. SAP is also announcing future integration between Joule Studio agents and n8n agents, allowing intelligent agents to work together seamlessly across workflows.
Developers can now use Joule Studio’s agent building capabilities to extend SAP’s out-of-the-box agents or create new agents that behave autonomously based on real business data and changing conditions. This enables organizations to automate complex processes and intelligently respond to evolving operational demands.
In the data domain, SAP has expanded its Business Data Cloud ecosystem to provide developers with more control and connectivity. Announcing new SAP Snowflake solution extensions and the SAP Business Data Cloud Connect partnership with Snowflake, complementing existing integrations with Databricks and Google Cloud. These developments enable users to choose the best compute and storage options for each AI and data workload, while maintaining governance and interoperability.
Additionally, the new Data Product Studio allows developers to transform raw datasets into ready-to-use “data products” optimized for analytics, AI, and application development. Enhancements to the SAP HANA Cloud Knowledge Graph Engine further enable automatic generation of knowledge graphs that map relationships between data models, providing deeper insight into how data is interconnected across business systems.
To extend AI autonomy and decision-making, SAP launched the first enterprise relational foundation model known as SAP-RPT-1 (Relational Pre-trained Transformer). Unlike traditional language models that predict text, SAP-RPT-1 predicts business outcomes such as delivery delays, payment risks, and order completion. This model is currently available in the free developer playground for experimentation.
Meanwhile, Joule’s new AI assistant is designed to coordinate multiple agents across departments and applications, bringing intelligence and automation to workflows in finance, supply chain, human resources, and more. SAP also introduced a new agent for technical users focused on business process analysis to identify inefficiencies and uncover optimization opportunities.
Through these innovations, SAP continues to be at the forefront of the enterprise AI revolution, enabling developers and enterprises alike to harness the full potential of data, automation, and machine intelligence, while ensuring that people around the world have the skills to succeed in the digital future.
