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Embedding Artificial Intelligence into ERP Software : A Conceptual View on Business AI with Examples from SAP S/4HANA / by Siar Sarferaz.

Springer Nature - Springer Computer Science eBooks 2024 English International Available online

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Format:
Book
Author/Creator:
Sarferaz, Siar, author.
Language:
English
Subjects (All):
Business--Data processing.
Business.
Artificial intelligence.
Business information services.
Business Informatics.
Artificial Intelligence.
Enterprise Architecture.
Local Subjects:
Business Informatics.
Artificial Intelligence.
Enterprise Architecture.
Physical Description:
1 online resource (436 pages)
Edition:
1st ed. 2024.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Summary:
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.
Contents:
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.
Notes:
Includes bibliographical references.
Other Format:
Print version: Sarferaz, Siar Embedding Artificial Intelligence into ERP Software
ISBN:
9783031542497

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