Dramatically improve your decisions with data and AI In Decision Transform Your Team and Organization with AI-Driven Decision-Making , a team of pioneering decision and AI strategists delivers a digestible and hands-on resource for professionals at every part of the decision-making journey. The book discusses the latest technology and approaches that bridge the gap between behavioral science, data science, and technological innovation. Discover how leaders from various industries and environments are using data and AI to make better future decisions, taking both human as well as business factors into account. This book Decision Intelligence is essential reading for managers, executives, board members, other business leaders and soon-to-be leaders looking to improve the quality, adaptability, and speed of their decision-making.
Praise for Decision Intelligence
"In Decision Intelligence , Thorsten Heilig and Ilhan Scheer build a compelling case for the world of tomorrow’s version of decision-making.” ―Martin Lindstrom , New York Times best-selling author
"Decision Intelligence will be one of the big topics for this decade and completely change the way organizations manage, plan, and operate. This book provides a comprehensive guide from the basics to the applications." ―Niklas Jansen , Entrepreneur and Tech Investor, Founding Partner Interface Capital and Co-Founder Blinkist "The book impressively demonstrates the potential and entry points into the world of AI-powered decision making. A very valuable reading for managers and their organizations". ―Michael Kleinemeier , Member of the Merck KG Board of Partners, former Member of the SAP SE Executive Board
“The AI hype perfectly captured, easy to understand, de-mystified and mapped to clear use cases - a must-read for today's managers.” ―Dr. Daniela Gerd tom Markotten , Member of the Management Board for Digitalization and Technology, Deutsche Bahn AG
This book didn't do it for me at all. There's no real definition of what "Decision Intelligence" IS or how it's different from data science, and in many cases the terms are used interchangeably. This was a real bummer because my aim when I picked up this book was to learn more about "Decision Intelligence" and how it differed from "regular" data science or analytics, and I was looking precisely for a clearer distinction.
The book espouses too many platitudes (e.g. decision intelligence can increase revenue, reduce costs), most of which we know a lot about already, and which the book doesn't really address in detail except "use decision intelligence". Half the book is spent trying to convince the reader that decision intelligence is useful, but that could be done in one chapter and more effort should have been put into detailed examples and actual case-studies.
Towards the end of the book it starts moving into general management and psychology theories, which are not specific to Decision Intelligence and that I've read about in plenty of other books, and that I found didn't belong in this one.
Two stars, because if you were coming in blind to management and decision theory you will find a good summary; but then in that case you probably wouldn't be the right audience for this book given how it's all so high level.