book: Artificial Intelligence
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Artificial Intelligence

Shaping the Future of Innovation
Language: English
Published/Copyright: 2025
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AI Essentials for Leaders
This book is in the series
AI Essentials for Leaders

About this book

Artificial Intelligence: Shaping the Future of Innovation provides a concise non-technical introduction to artificial intelligence as the key driver of innovation in the new economy. The book positions AI as a General Purpose Technology, vital for driving advancements across all sectors of business, government, and society.

Written for leaders, innovators, and decision-makers, this book bridges the gap between technical complexity and practical application, demystifying AI's core concepts while illuminating its catalytic impact across industries and organizations. Through a careful examination of innovation dynamics, computational foundations, and core AI principles, readers will gain the essential knowledge needed to both understand and effectively navigate the AI landscape.

This succinct guide makes technical concepts accessible—from algorithms and machine learning to deep learning and generative AI—giving leaders the clarity they need to engage confidently with AI technology.

  • Provides a thorough yet accessible introduction to AI

  • Emphasizes real-world applications and the ethical dimensions of AI

  • Provides a conceptual framework for leveraging AI to drive innovation across various sectors

Author / Editor information

Alfred Essa has led pioneering AI and advanced analytics teams across academia and industry. As Simon Fellow at Carnegie Mellon University, VP of Analytics and R&D at McGraw Hill Education, and CIO at MIT's Sloan School of Management, he has consistently bridged the gap between theoretical innovation and practical implementation. His most recent book is Practical AI for Business Leaders, Product Managers, and Entrepreneurs. Essa has published more than 25 research papers spanning adaptive learning systems, risk analytics, and innovative approaches to data visualization using predictive model ensembles. He holds degrees from Haverford College and Yale University.

Topics

  • Publicly Available

    Frontmatter

    I
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    Dedication

    V
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    Preface

    VII
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  • Publicly Available

    Contents

    XIII
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  • Part I Innovation
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    1 Innovation Dynamics: AI’s Transformative Potential

    3
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    2 Innovation Culture: Igniting AI Creativity in Organizations

    14
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  • Part II Computation
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    3 Algorithms: The Logic of Computing

    27
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    4 Architecture: How Computers Work

    35
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  • Part III Machine Learning
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    5 Machine Learning: Learning from Data

    47
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    6 Classification: Predicting Categories (Case Study)

    58
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    7 Regression: Predicting Continuous Values (Case Study)

    68
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  • Part IV Deep Learning
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    8 Deep Learning: The Big Picture

    83
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    9 Deep Learning: Under the Hood

    92
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  • Part V Generative AI
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    10 Foundation Models: Large Language Model Basics

    107
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    11 Foundation Models: How Large Language Models Become Smart

    121
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    12 Expert Models: Grounding AI in Trusted Knowledge

    133
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    13 Agentic AI: From Knowledge to Action

    149
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  • Part VI Risk
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    14 System Failures: Why and How AI Makes Mistakes

    161
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    15 Catastrophic Accidents: How to Identify and Address Major Failures

    169
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    16 Risk Across the Action Boundary: From Passive to Agentic Systems

    180
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    Bibliography

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    List of Figures

    191
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    List of Tables

    197
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    Index

    199
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Publishing information
Pages and Images/Illustrations in book
eBook published on:
November 6, 2025
eBook ISBN:
9783111583549
Paperback published on:
November 6, 2025
Paperback ISBN:
9783111582382
Pages and Images/Illustrations in book
Front matter:
16
Main content:
208
Illustrations:
8
Coloured Illustrations:
68
Tables:
6
https://doi.org/10.1515/9783111583549
eBook ISBN: 9783111583549
Paperback ISBN: 9783111582382
Keywords for this book
Artificial intelligence; Leadership; Business strategy; Entrepreneurship; Innovation; Technology; Governance
Audience(s) for this book
Business and technical professionals in leadership positions; C-suite executives; Product and project managers; Policymakers.
Safety & product resources
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