Decision Intelligence

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.

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.

Autorentext

Dr. Miriam O'Callaghan,
Associate Professor of Management,
William Woods University

Inhalt

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.