Link: How Decision Intelligence Connects Data, Actions, and Outcomes for a Better World

Lorien Pratt (Author)
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Product Details

Price
$26.00
Publisher
Emerald Publishing Limited
Publish Date
September 16, 2019
Pages
232
Dimensions
6.1 X 0.7 X 9.1 inches | 1.05 pounds
Language
English
Type
Hardcover
EAN/UPC
9781787696549

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About the Author

Lorien Pratt, Ph.D., has been delivering artificial intelligence and machine learning solutions for over 30 years. Clients include the Human Genome Project, the Colorado Bureau of Investigation, the US DOE, the US federal courts, and dozens more. A machine learning pioneer, Pratt led the teams that invented Machine Learning Transfer and Decision Intelligence (DI). Formerly a computer science professor, Pratt writes for publications like Forbes, the Diplomatic Courier, and D!gitalist Magazine, often speaks internationally, and has given two TEDx talks.

Reviews

Link is an exercise in abstraction, causality, and modeling. It is about discovering and making visible interdependencies in complex systems. The author distills what she has learned in pithy insights. It takes discipline. You won't regret reading this book.--Vint Cerf, Internet Pioneer
Link is the missing link to our understanding of unintended consequences of many of our decisions and actions. This is a book for the ages, moving both technology (like AI) and human decision making to the next level. Must read.--V R Ferose, SVP and Head of SAP Engineering Academy
There is an explosion today in the impacts, risks, and opportunities of many decisions by private or governmental entities intended to impact future events. Link is about understanding these decisions and causal relationships. Societal transactions are accelerating: many more than ever are intangible, and there are substantial complexities created by newly discovered information as well as the resulting increase of global interdependencies. Surveillance capitalism, especially as enhanced by AI, is also a substantial risk today. Link is part of the solution: a crucial resource to understand causal chains, especially with the goal of avoiding unintended consequences of decisions involving data and technology.--Bill Fenwick, Partner Emeritus, Fenwick & West LLP
Pratt, a former computer science professor who works in artificial intelligence and machine learning, discusses decision intelligence and how it can help solve complex problems in areas like business, finance, and economics by connecting humans with technology and data to think about decisions in a new way. She describes how decisions lead to actions that lead to outcomes in the future and how to use a causal decision diagram to make decisions using advanced technologies to solve difficult problems in organizations. She discusses the concept of decisions as artifacts that can be designed and engineered; the role of artificial intelligence, machine learning, data science, and other technologies; how to model complex decisions; how to shift to a decision-centric view; and the future of decision intelligence.--Annotation (c)2019 "(protoview.com) "