E3 Category: MAG 25-11

For most developers, „unit test“ and „test-driven development“ are no longer foreign words. Nevertheless, not too many programmers use them in practice for a variety of reasons.

Ab 2026 wird es ernst: Mit der EU-Richtlinie zur Gehaltstransparenz müssen Unternehmen in Europa offenlegen, wie es um ihre Vergütungsgleichheit bestellt ist. Ziel ist es, geschlechtsbezogene und andere ungerechtfertigte Gehaltsunterschiede aufzudecken und zu beseitigen.

You can now use any LLM to automate the complex, manual analysis of your SAP infrastructure. The Model Context Protocol (MCP) securely connects data from tools such as Trento with the AI, without any model training.

Real-time data and process design with SAP Analytics Cloud and BW/4 Hana: Traditional controlling gives way to data-based real-time consulting that actively shapes clinical processes and optimizes patient care.

Nine out of ten German companies have been affected by data theft in the past three years. 92% see an acute need for action due to geopolitical risks and are adapting their cyber strategies. Weaknesses are evident in protection against AI and quantum risks.

It is generally known that AI is fed by the vastness of the World Wide Web. For AI, texts, photos, videos and graphics are the source of „knowledge“. The sink is the answers from ChatGPT and co. What if the sources dry up?

Why low-code and AI are currently business boosters for SAP and non-SAP users and how low-code-supported AI applications support users in everyday life - here is a compact overview of how both technologies fit together perfectly and orchestrate the business together.

Although the German economy believes it is well equipped when it comes to digital sovereignty, the majority is still dependent on digital solutions from non-European providers. This is shown by the first „Digital Sovereignty Index“ compiled by SAP Gold Partner Adesso and the HRI.

Werner und Mertz strives for more efficiency, better data quality and transparent processes with centralized master data management. The focus was on clear workflows, flexible customization and SAP integration. With FIS/mpm, the manufacturer quickly achieved noticeable improvements.

I was shocked to realize two things: This is my last column and I haven't even written about artificial intelligence yet. But few buzzwords are better suited to the grand finale.

How can existing SAP customers, companies and public institutions use artificial intelligence securely and profitably?

The gut feeling is that 99 percent availability would be okay - but it means that a system or service is unavailable for around 3 days and 15 hours per year. An ERP system and AI agents need more stability.