04550nam a22005175i 4500 978-3-031-54249-7 DE-He213 20251030112242.0 cr nn 008mamaa 240530s2024 sz | s |||| 0|eng d 9783031542497 978-3-031-54249-7 10.1007/978-3-031-54249-7 doi HF5548.125-.6 KJQ bicssc COM005030 bisacsh KJQ thema Sarferaz, Siar. author. aut http://id.loc.gov/vocabulary/relators/aut 77803 Embedding Artificial Intelligence into ERP Software [electronic resource] : A Conceptual View on Business AI with Examples from SAP S/4HANA / by Siar Sarferaz. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XVI, 434 p. 217 illus., 199 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 1. Methodology -- Part I: ERP Fundamentals -- 2. Intelligent ERP -- 3. ERP Reference Processes -- 4. ERP Reference Architecture -- 5. ERP Reference Artificial Intelligence Technology -- Part II: Concepts for Embedding Artificial Intelligence -- 6. 6 Solution Architecture -- 7. Lifecycle Management -- 8. Data Integration -- 9. Data Protection and Data Privacy -- 10. Configuration -- 11. Extensibility -- 12. Model Degradation -- 13. Explanation of Results -- 14. Workload Management and Performance -- 15. Legal Auditing -- 16. Model Validation -- 17. User Interface Design -- 18. Embedding Generative AI -- Part III: Implementation Framework and Case Studies -- 19. Implementation Framework -- 20. Sales and Research -- 21. Sourcing and Procurement -- 22. Inventory and Supply Chain -- 23. Finance -- 24. Epilogue – Ethical Considerations. This book explains how to embed artificial intelligence in digitized business processes of ERP software by solving the two related substantial challenges: how can artificial intelligence be systematically integrated into ERP business processes for ease of consumption, and how can artificial intelligence be made enterprise-ready by covering ERP qualities like compliance, lifecycle management, extensibility, or scalability? As a general introduction, the first part of this book takes the reader through a historical journey towards intelligent ERP systems. In addition, reference processes and a reference architecture for ERP systems are proposed which build the foundation for the suggested subsequent solution concept, including a method for operationalizing intelligence for ERP business processes. Subsequently, in the second part detailed concepts of embedding artificial intelligence into ERP software are proposed. In this context the suggested solution architecture is depicted, and specific topics are resolved like data integration, model validation, explainability, data protection and privacy, model degradation and performance. In the last part an implementation framework is suggested which enables the previously introduced concepts and harmonizes the development and operations of artificial intelligent ERP applications. This part concludes with case studies considering artificial intelligence scenarios of SAP S/4HANA in the areas of logistics, finance and sales which apply the defined solution approach and shows its real-world feasibility. This book is written for professionals who want to implement (as developers) or exploit (as business analysts or consultants) or consider/plan the implementation/exploitation (as managers) of artificial intelligence in business information systems. Business Data processing. 59544 Artificial intelligence. 58441 Business information services. Business Informatics. 65949 Artificial Intelligence. 58441 Enterprise Architecture. 69329 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031542480 Printed edition: 9783031542503 https://doi.org/10.1007/978-3-031-54249-7 ZDB-2-SCS ZDB-2-SXCS 60276 60276