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Revealing the limitations of human decision-making, this book explores how Artificial Intelligence (AI) can be used to optimize decisions for improved business outcomes and efficiency, as well as looking ahead to the significant contributions Decision Intelligence (DI) can make to society and the ethical challenges it may raise.
From the theories and concepts used to design autonomous intelligent agents to the technologies that power DI systems and the ways in which companies use decision-making building blocks to build DI solutions that enable businesses to democratize AI, this book presents an impressive framework to integrate artificial and human intelligence for the success of different types of business decisions.
Replete with case studies on DI applications, as well as wider discussions on the social implications of the technology, Decision Intelligence: Human-Machine Integration for Decision Making appeals to both students of AI and data sciences and businesses considering DI adoption.
List of contents
List of Acronyms. Preface. Acknowledgments. Chapter 1 Decision Intelligence: Introduction and Overview. Chapter 2 Humans vs. Machines in Decision-Making. Chapter 3 Systems and Technologies for Decision-Making. Chapter 4 Intelligent Agents: Theoretical Foundations. Chapter 5 Decision-Making Building Blocks, Tools, and Techniques. Chapter 6 Decision Intelligence Market: Vendors and Solutions. Chapter 7 Decision Intelligence Framework for Organizational Decision-Making. Chapter 8 Recommendations for DI Implementation and Ethics. INDEX.
About the author
Dr. Miriam O'Callaghan,
Associate Professor of Management,
William Woods University
Summary
Revealing the flaws in human decision making, this book explores how AI can be used to optimise decisions for improved business outcomes and efficiency, as well as looking ahead into the significant contributions Decision Intelligence (DI) can make to society and the ethical challenges it may raise.
Report
"Organizational decision making has been a very challenging area in the last decade. The availability of new technologies, such as AI, has contributed to this. Organizations are looking for guidance on understanding these new technologies and advice on how to incorporate them into their system. The content seems just right for a course covering a non-technical subject area as a textbook. The students, especially those with a business background, will benefit from this textbook greatly. Dr. O'Callaghan's book covers just the right areas to guide the students seeking to understand and implement these decision-making processes in organizations...This book will serve as an excellent resource for big companies and startups where wise business decisions are needed the most. If new businesses are guided through good decision-making, they will have a successful future. Dr. O'Callaghan's book does just that and where it is needed most."
-- Dr. Gulsebnem Bishop, Campbellsville University, Kentucky, UK
"Decision Intelligence is vital for any enterprise looking to reach new heights of growth because we can no longer deal with the number and speed of daily decisions we must make. Decision Intelligence will be a significant driver for operationalizing AI at scale within the enterprise. Today, AI is capable of understanding the business, recommending a decision, acting to execute it, and learning to improve the quality of future decisions. We will look back at this era as the inflection point in how companies make decisions and how teams strategize and collaborate. Miriam O'Callaghan's book is an excellent summary and guide to understanding the emerging category of Decision Intelligence. It's an instrumental book for a wide variety of audiences who wants to grasp the science behind this new technology and harness its potential."
Shariq Mansoor, Chief Technology Officer and Founder of Aera Technology
