SAP-Solution: machine learning

E3 Magazine brings new information about the potential of the cloud and process mining.

Christian Klein has not only made a mess of SAP's AI development, but is currently being overtaken left and right by his own existing customers when it comes to AI. An old pattern continues.

Only 47 percent of SAP employees in Germany have full confidence in their Executive Board; however, removing Christian Klein would not be the answer, as the biggest organizational change in SAP's recent history is scheduled for 2024.

Delivery plans are supposed to link customers and suppliers, increase efficiency and delivery reliability, and avoid bottlenecks due to the bullwhip effect. But in many cases, the plans cause more trouble than they benefit.

SAP is pushing the move to the cloud. For companies, this is often associated with a changed operating model. If approached correctly, they can still benefit from this change.

It is a tradition at the turn of the year for many institutions to make well-intentioned predictions for the coming year. From the perspective of the SAP community, we try to summarize the most important trends: Skilled workers, logistics, production, AI and security.

Companies have recognized the potential of machine learning. However, the necessary expertise and skilled workers are lacking.

In the current E-3 short interview, xSuite CEO Matthias Lemenkühler comments on the tasks of digitization during the pandemic, on the questions of "cloud first" or "cloud only" and how our paperless work really stands.

Machine learning (ML) is one of the most promising approaches to using artificial intelligence in the enterprise. But so far, almost nine out of ten projects fail before go-live. With DevOps and ML-Ops, this trend can be reversed.

Technologies such as IoT, big data analytics and AI produce vast amounts of data that require cloud storage. Manufacturers like SAP are pursuing a cloud-first strategy. Enterprise applications are transforming to the cloud, creating complex distributed infrastructures.

Knowledge transfer is becoming increasingly important for the rapid developments in customer relationship management. Digitization congresses connect thought leaders, designers and experts for a practical exchange.

Digitalization poses new challenges. To avoid pitfalls, companies need a structured approach. This is also true for S/4 Hana implementations as digital core, and a business transformation roadmap is indispensable for any migration.