Decision Intelligence
eBook - ePub

Decision Intelligence

Human–Machine Integration for Decision-Making

  1. 260 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Decision Intelligence

Human–Machine Integration for Decision-Making

Book details
Table of contents
Citations

About This Book

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.

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Yes, you can access Decision Intelligence by Miriam O'Callaghan in PDF and/or ePUB format, as well as other popular books in Business & Decision Making. We have over one million books available in our catalogue for you to explore.

Information

Year
2023
ISBN
9781000880021
Edition
1

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. List of Acronyms
  7. Preface
  8. Acknowledgments
  9. Chapter 1. Decision Intelligence: Introduction and Overview
  10. Chapter 2. Humans vs. Machines in Decision-Making
  11. Chapter 3. Systems and Technologies for Decision-Making
  12. Chapter 4. Intelligent Agents: Theoretical Foundations
  13. Chapter 5. Decision-Making Building Blocks, Tools, and Techniques
  14. Chapter 6. Decision Intelligence Market: Vendors and Solutions
  15. Chapter 7. Decision Intelligence Framework for Organizational Decision-Making
  16. Chapter 8. Recommendations for DI Implementation and Ethics
  17. Index