Enterprise AI

Definition, Processes, Qualities and Architecture
Erscheinungsjahr 2027
ISBN: 978-3-032-44883-5
Verlag: Springer

Buch, Englisch, Format (B × H): 168 mm x 240 mm

Many AI initiatives perform well in pilot projects but fail on the path to productive enterprise use. This book explains how organizations can integrate artificial intelligence into business processes, organizational structures, and IT in a reliable, scalable, and responsible way- and thereby translate AI into sustainable business value.

At its core is a practice-oriented framework built around four perspectives: forms of artificial intelligence, their integration into core enterprise processes, quality attributes of enterprise-grade AI, and an implementable reference architecture. Eight end-to-end core processes spanning procurement, sales, logistics, production, human resources, and finance and accounting form a central pillar of the framework and position AI along key operational activities and decision points. Twelve quality attributes provide guidance on business alignment, security, reliability, performance, integration, explainability, responsibility, and organizational readiness.

A four-layer reference architecture connects user experience, processes, models and data with platform and control mechanisms. Engineering and maturity models support the journey from isolated projects to an institutionalized AI capability. Together, these elements create a common language that systematically links technological possibilities with organizational requirements and measurable business value

Zielgruppe

Research

Autoren/Hrsg.

Sarferaz, Siar

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik

Inhaltsverzeichnis

Part I — Foundations: Definition, AI Types, and the Process Landscape.- Introduction: From AI Pilots to Enterprise Capability.- A Taxonomy of AI: Narrow, Generative, Conversational, and Agentic.- The Enterprise Process Landscape.- Part II — The Eight Enterprise Processes.- Idea-to-Market.- Source-to-Pay.- Plan-to-Fulfil.- Lead-to-Cash.- Recruit-to-Retire.- Acquire-to-Decommission.- Finance.- Governance.- Part III — The Twelve Qualities of Enterprise AI.- Business Alignment.- Governance & Compliance.- Security & Privacy.- Scalability & Performance.- Reliability & Observability.- Accuracy & Continuous Learning.- Integration & Interoperability.- Configuration & Extensibility.- Lifecycle Management & Operations.- Responsible & Ethical AI.- Transparency & Explainability.- Part IV — Architecture and Practice.- The Four-Layer Reference Architecture.- Building Enterprise AI Applications.- Maturity, Trade-offs, and the Road Ahead.

Über Autor(innen)

Dr. Siar Sarferaz is a chief software architect for SAP S/4HANA, SAP’s enterprise resource planning solution, in Research and Development at SAP’s headquarters in Walldorf, Germany. In this role, he helps shape digital transformation by defining the product’s solution architecture and developing innovative, scalable concepts for mission-critical business processes. As the lead architect for Artificial Intelligence in SAP S/4HANA, he is particularly responsible for concepts that integrate AI into enterprise business processes. He holds more than 30 patents in the field of enterprise software.  
Siar Sarferaz studied computer science and philosophy and holds a Ph.D. in computer science. He began his professional career as a methods researcher at Siemens before joining SAP, where he has worked in a variety of roles for more than 25 years