E3 Category: MAG 26-05

The success of AI in industry depends on the quality of the database. „Fit for AI“ from simus systems offers data services that significantly facilitate AI projects in product development, ERP processes, automation, predictive maintenance, quality assurance and customer service.

In recent years, the AI debate has been heavily influenced by the various AI models; parameter sizes, data volumes and benchmarks have taken center stage. Today, however, a different picture is emerging in practice.

Anyone who believes they can successfully implement an S/4 migration with the lift-and-shift concepts brownfield or greenfield is mistaken. Pure code conversion - even in SAP Clean Core - leads to strategic failure. Nova Intelligence relies on understanding instead of conversion: Cleanfield and Composable ERP for sustainable transformation.

The podcast for the E3 cover story is a supplement and continuation of the online texts from the E3 print magazine. A dialog between two AI avatars with knowledge from the German-speaking E3 editorial team provides an insight into the processes surrounding SAP and the SAP community. Translations into English, Spanish and French are provided by DeepL and Google.

SAP is undergoing a fundamental transformation. The platform on which tens of thousands of companies run their business is moving towards a new architectural model - cloud-native, cleanly expandable and increasingly geared towards AI-supported business processes.

SAP custom code has become a cost driver and obstacle to innovation for many companies. Having grown over the years, it now blocks standardization and speed. In the course of the S/4 Hana transformation, there is now an opportunity to redefine the degree of customization.