The AI-Enabled Enterprise

1. Auflage 2023
ISBN: 978-3-031-29052-7
Verlag: Springer International Publishing

Buch, Englisch, 135 Seiten, Format (B × H): 168 mm x 240 mm, Gewicht: 261 g

Reihe: The Enterprise Engineering Series

The AI enabled enterprise uses technology to continuously learn by monitoring its behavior and the environment as well as external knowledge sources in order to automate the decision-making and decision-implementation processes leading to continuous improvement over time. This book discusses the key challenges that organizations need to overcome in achieving an AI enabled enterprise: the role of digital twins in evidence-backed design, enterprise cartography that goes far beyond process mining, decision-making in the face of uncertainty, software architecture for continuous adaptation, democratized knowledge-guided software development enabling coordinated design, low code versus no code, and coherent design. For each challenge, the book proposes a line of attack along with the associated enabling technology and illustrates the same through a near real world use case.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Kulkarni, Vinay

Proper, Henderik A.

Reddy, Sreedhar

Clark, Tony

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management

Inhaltsverzeichnis

- 1. The AI-Enabled Enterprise. - 2. Decision-Making in the Face of Uncertainty. - 3. Regulatory Compliance at Optimal Cost with Minimum Exposure to Risk. - 4. Continuously Adapting Software. - 5. Democratized Hyper-automated Software Development. - 6. Coordinated Continuous Digital Transformation. - 7. A Case Study: Wellness Ecosystem.

Über Autor(innen)

Vinay Kulkarni is Distinguished Chief Scientist at TCS Research where he heads Software Systems & Services research. His research interests include enterprise digital twins, learning-native software systems, multi agent systems, model-driven software engineering, and enterprise modelling.

Sreedhar Reddy is a Distinguished Chief Scientist at TCS Research. His research interests include model-driven engineering, databases, knowledge engineering, natural language processing and machine learning.

Tony Clark is a Professor of Computer Science and Deputy Dean in the College of Engineering and Physical Sciences at Aston University. He has experience of working in both academia and industry on a range of software projects and consultancies. His current interests are using adaptation and model-based techniques to create digital twins.

Henderik A. Proper is a Full Professor in Enterprise and Process Engineering in the Business Informatics Group at the TU Wien. His general research interest focuses on the foundations and applications of domain modelling in an enterprise context. He has experience of working in academia and industry.