A key SAP point is that it is now giving developers more opportunities to leverage data through the SAP Business Data Cloud, which can now be connected to even more data and AI platforms that developers use daily.
Flexibility to Choose the Right Capacity and Storage
A new SAP Snowflake solution for SAP Business Data Cloud gives SAP customers direct access to Snowflake’s fully managed data and AI capabilities, giving them the flexibility to choose the right capacity and storage for each data and AI task – while maintaining governance, interoperability, and business context.
SAP has also entered into a new partnership with Snowflake on SAP Business Data Cloud Connect, which complements existing integrations with Databricks and Google Cloud. This gives developers even more freedom to choose how they want to work with SAP data.
With the new Data Product Studio feature in SAP Business Data Cloud, developers can transform raw data into ready-made data assets, called data products, that support analytics, AI, and application development. An enhanced feature in SAP HANA Cloud’s knowledge graph engine can now automatically generate knowledge graphs that map relationships between SAP database tables, columns and data models, showing how data is connected and why it matters. The result is a clearer picture of the connections between systems and deeper insight into an organization’s data for developers.
AI Autonomy in Practice
SAP is expanding its AI offering to give developers the intelligence and control they need to turn insights into action. SAP has launched its first relational foundation model for enterprises – a new type of AI that predicts business outcomes rather than just the next word in a sentence. SAP-RPT-1, or the first generation Relational Pre-trained Transformer, can quickly and accurately predict scenarios such as delivery delays, payment risks or sales order completion. SAP today launched a free test environment for developers.
New AI assistants in Joule coordinate multiple agents across workflows, departments, and applications, simplifying automation and autonomy. These assistants plan, initiate, and complete complex tasks in finance, supply chain, HR, and other areas.
New Agents for Technical Users
SAP is also introducing new agents aimed at technical users. For example, a business process analysis agent will help teams understand how processes work, identify bottlenecks, and find opportunities to optimize workflows and create measurable improvements.
As AI transforms everyone’s work lives, SAP has committed to equipping 12 million people worldwide with AI skills by 2030. Through its partnership with online platform Coursera, SAP is expanding its hands-on training and certification programs to give more people access to AI tools.
