Embedding Artificial Intelligence into ERP Software (Record no. 88115)

000 -LEADER
fixed length control field 04530nam a22005175i 4500
001 - CONTROL NUMBER
control field 978-3-031-54249-7
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730172228.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240530s2024 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031542497
-- 978-3-031-54249-7
082 04 - CLASSIFICATION NUMBER
Call Number 650.0285
082 04 - CLASSIFICATION NUMBER
Call Number 658.05
100 1# - AUTHOR NAME
Author Sarferaz, Siar.
245 10 - TITLE STATEMENT
Title Embedding Artificial Intelligence into ERP Software
Sub Title A Conceptual View on Business AI with Examples from SAP S/4HANA /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVI, 434 p. 217 illus., 199 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Data processing.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-54249-7
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2024.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Business
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Business information services.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Business Informatics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Enterprise Architecture.
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-- ZDB-2-SCS
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-- ZDB-2-SXCS

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