DSAG Technology Days 2026: AI, data, security - SAP must deliver

Artificial intelligence, data and security. User companies expect clarity in these important fields of action. More than 3,000 participants will discuss what is needed from the perspectives of strategy, development and operations over the two days of the event.

According to DSAG, artificial intelligence is a key lever because it will change every architecture and every business capability in the future. When used correctly, AI should speed up decisions, change processes and make tasks easier. The aim is for AI to not only create added value within IT in the short term, but also to be incorporated into ERP processes in the coming months and years. Many solutions have been announced and implemented in the field of AI agents. However, these are often not yet being used across the board in companies. 

Integration SAP-RPT1

SAP is pursuing a clear strategy of transferring AI from the experimental phase to corporate reality and business processes - a path that DSAG welcomes. It is also necessary to be able to integrate models from different providers and to have SAP-specific models such as SAP-RPT1, which natively understands structured business data. This is a real strategic advantage. „SAP has high expectations that AI should be enterprise-ready. This not only includes as many AI agents as possible. Performance, security, compliance, stability and integration must also be considered and guaranteed from the outset,“ demands DSAG Chief Technology Officer Stefan Nogly. While SAP has already delivered many AI functionalities, it is now important for SAP to further simplify the introduction and use of AI for companies. Companies also need transparency about their future IT architectures in order to make optimum use of the strategic leverage of AI. In reality, companies are investing in their own AI solutions in parallel with the SAP strategy. On the one hand, this is a sign that some companies are still in an experimental phase and, on the other, that SAP's entry barriers are too high for companies. In addition to AI innovations and a healthy data basis, companies need secure and resilient processes. 

“It is necessary for customers to standardize further in order to benefit from out-of-the-box scenarios.”

Philipp Herzig,
Chief Technology Officer,
SAP

Security risks: AI and the cloud

IT security forms the basis for the reliable and responsible use of the cloud and AI as well as access to data. The user association understands security as an attitude that is demonstrated by standards, measurability and a clear process with practiced procedures and ongoing enablement. 

Philipp Herzig, CTO of SAP, wants to support customers in moving to a harmonized SAP-managed data model. With the BDC, SAP must continue to support a non-SAP data strategy, but at the same time more data must be collected, as the data currently in the System of Records is not sufficient for the vision of fully autonomous agents.

However, from DSAG's point of view, technical functions are not everything. As mentioned above, companies also need enablement, best practices and reference artifacts that allow them not only to define governance, but to live it. In the context of the SAP AI strategy, companies need to understand how the AI agents work, what data they use and what guidelines and heuristics drive decisions. SAP's pace of innovation in the areas of cloud, AI and analytics is high and presents companies with significant challenges. Many are still in the process of introducing new cloud technologies and need further guidance, otherwise the technological distance between SAP and the company will grow. (rk, source: DSAG)