04182nam a22004215i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001800153072001600171072002300187072001500210100007700225245016700302250001800469264006900487300006700556336002600623337002600649338003600675347002400711505084900735520181901584650003103403650002903434650003503463650002603498650002903524650002903553710003403582773002603616776003603642776003603678856004603714978-3-031-54249-7DE-He21320251030112242.0cr nn 008mamaa240530s2024    sz |    s    |||| 0|eng d  a97830315424977 a10.1007/978-3-031-54249-72doi 4aHF5548.125-.6 7aKJQ2bicssc 7aCOM0050302bisacsh 7aKJQ2thema1 aSarferaz, Siar.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aEmbedding Artificial Intelligence into ERP Softwareh[electronic resource] :bA Conceptual View on Business AI with Examples from SAP S/4HANA /cby Siar Sarferaz.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXVI, 434 p. 217 illus., 199 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 a1. 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.  aThis 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. 0aBusinessxData processing. 0aArtificial intelligence. 0aBusiness information services.14aBusiness Informatics.24aArtificial Intelligence.24aEnterprise Architecture.2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303154248008iPrinted edition:z978303154250340uhttps://doi.org/10.1007/978-3-031-54249-7