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Higher Education

AI for Managers

Author(s): Rahul De′

ISBN: 9789360533038

1st Edition

₹595

Binding: Paperback

Pages: 394

Trim Size : 241 x 181 mm

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Artificial intelligence (AI) is reshaping industries, redefining competition, and revolutionising the way businesses operate. This book provides management students, executives, and professionals with a comprehensive yet accessible exploration of AI’s transformative impact. From digital transformation and machine learning to large language models and responsible AI, this book demystifies complex concepts without delving into technical details, making it an essential resource for decision-makers navigating the AI era. Designed for a business audience, this book bridges the gap between AI theory and its real-world applications, equipping readers with the knowledge to manage AI projects, leverage AI-driven strategies, and anticipate future trends. Covering foundational topics such as neural networks, reinforcement learning, and intelligent agents, alongside cutting-edge advancements such as swarm intelligence and generative AI, this guide offers valuable insights for leaders aiming to harness AI for competitive advantage. Whether you are an MBA student, an executive, or a curious professional, this book will empower you to confidently engage with AI and shape its role in your organisation.

Written for a general, non-technical audience, with a focus on management students, executives, and those interested in AI and its applications
Chapters are self-contained, do not demand much prior knowledge, and may even be read in any sequence.
Chapters begin with a mindmap outlining the topics covered and their organisation.
Chapter-end MCQs, review questions, and assignments help the readers to understand and revise the concepts.
Each chapter lists sources and extensive reading for further information and research.
Appendix to the book provides a list of technical terminology and additional technical reading.
Cengage Digital App includes: Self-assessment Quiz and From the AI Frontier: Additional cases

1. Introduction to AI: Current Scenario

2. Digital Transformation in Organisations

3. Managing AI and ML Projects

4. Introduction to ML

5. Responsible AI

6. Machine Learning with Neural Networks

7. Deep Learning

8. Natural Language Processing and Generative AI

9. Representation and Search

10. Reinforcement Learning

11. Decision Trees, Random Forests, and Nearest Neighbour Methods

12. Bayesian Learning

13. Genetic Algorithms

14. Swarm Intelligence and Agent-based Modeling

15. Agents and Robots

16. History of AI

Abbreviations Used

Technical Appendix

Rahul De', B. Tech. from IIT Delhi, MBA from FMS, and PhD from University of Pittsburgh, has held significant administrative positions at IIM Bangalore, including Dean (Prog). He began his academic career as a doctoral student at the AI in Management Laboratory of the Katz Graduate School of Business, where he specialised in AI, Information Systems, and Operations Research. Subsequently, he served as a professor at several business departments in the USA before joining IIM Bangalore. He taught AI, Information Systems, and related courses for more than two decades at IIM Bangalore and business schools across Europe to management students and corporate executives.