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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-- 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








