The AI-Enabled Enterprise

Vinay Kulkarni · Sreedhar Reddy · Tony Clark · Henderik A. Proper

2023年11月 · Springer Nature

電子書

135

頁數

評分和評論未經驗證瞭解詳情

關於這本電子書

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.

關於作者

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.