Architecting Intelligent Enterprise Applications: AI and ML Convergence within SAP S/4HANA Ecosystem

Authors

  • Dr. Klaus Richter SAP Research Institute, Berlin, Germany
  • Dr. Anna Weber Faculty of Computer Science, Technical University of Berlin, Germany

Keywords:

Artificial Intelligence, Machine Learning, SAP S / S/4HANA Enterprise Application, Digital Transformation, Business Optimization, ERP Systems

Abstract

When it comes to SAP S/4HANA, the two most important technologies driving innovation in today's business apps are AI and ML. The article delves into the possibilities of integrating AI and ML in the SAP S/4HANA system to improve corporate operations, decision-making, and efficiency. Incorporating these technologies into SAP S/4HANA ERP systems presents both potential and challenges, which will be examined in this presentation. The study looks at how AI and ML contribute to innovation and operational efficiency using performance and case study techniques. The findings demonstrate that SAP S/4HANA's capabilities may be greatly enhanced by integrating AI and ML technologies, which in turn improves scalability, agility, and overall company performance. To help businesses succeed in today's digital-first environment, the paper finishes with actionable advice on how to use AI and ML to their full potential.

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Original Research Articles

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