Overview
- Discusses the key challenges that organizations need to overcome in achieving an AI enabled enterprise
- For each such challenge, it proposes a line of attack along with the associated enabling technology
- Illustrates all proposed approaches and solutions through a near real world use case
Part of the book series: The Enterprise Engineering Series (TEES)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (7 chapters)
-
Front Matter
Keywords
About this book
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.
Authors and Affiliations
About the authors
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.
Bibliographic Information
Book Title: The AI-Enabled Enterprise
Authors: Vinay Kulkarni, Sreedhar Reddy, Tony Clark, Henderik A. Proper
Series Title: The Enterprise Engineering Series
DOI: https://doi.org/10.1007/978-3-031-29053-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-29052-7Published: 16 November 2023
eBook ISBN: 978-3-031-29053-4Published: 15 November 2023
Series ISSN: 1867-8920
Series E-ISSN: 1867-8939
Edition Number: 1
Number of Pages: XII, 135
Number of Illustrations: 7 b/w illustrations, 58 illustrations in colour
Topics: Computer Science, general, Enterprise Architecture, Machine Learning, Computer Applications, Artificial Intelligence