Augmented Intelligence: The Business Power of Human–Machine Collaboration
Autor Judith Hurwitz, Henry Morris, Candace Sidner, Daniel Kirschen Limba Engleză Hardback – 5 dec 2019
This book focuses on the requirement to clearly manage the foundational data used for augmented intelligence. It focuses on the risks of improper data use and delves into the ethics and governance of data in the era of augmented intelligence. In this book, we explore the difference between weak augmentation that is based on automating well understood processes and strong augmentation that is designed to rethink business processes through the inclusion of data, AI and machine learning.
What experts are saying about Augmented Intelligence
"The book you are about to read is of great importance because we increasingly rely on machine learning and AI. Therefore, it is critical that we understand the ability to create an environment in which businesses can have the tools to understand data from a holistic perspective. What is imperative is to be able to make better decisions based on an understanding of the behavior and thinking of our customers so that we can take the best next action. This book provides a clear understanding of the impact of augmented intelligence on both society and business."—Tsvi Gal, Managing Director, Enterprise Technology and Services, Morgan Stanley
"Our mission has always been to help clients apply AI to better predict and shape future outcomes, empower higher value work, and automate how work gets done. I have always said, ’AI will not replace managers, but managers who use AI will replace managers who don't.’ This book delves into the real value that AI promises, to augment existing human intelligence, and in the process, dispels some of the myths around AI and its intended purpose."—Rob Thomas, General Manager, Data and AI, IBM
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CRC Press – 22 ian 2021 | 143.16 lei 43-57 zile | |
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CRC Press – 5 dec 2019 | 348.96 lei 43-57 zile |
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Specificații
ISBN-13: 9780367184896
ISBN-10: 0367184893
Pagini: 170
Dimensiuni: 156 x 234 x 10 mm
Greutate: 0.94 kg
Ediția:1
Editura: CRC Press
Colecția Auerbach Publications
ISBN-10: 0367184893
Pagini: 170
Dimensiuni: 156 x 234 x 10 mm
Greutate: 0.94 kg
Ediția:1
Editura: CRC Press
Colecția Auerbach Publications
Public țintă
Professional Practice & DevelopmentCuprins
Dedications
Content
Foreword
Preface
Why This Book? Why Now?
Why You Should Read This Book
What Is in This Book
About the Authors
Chapter 1: What Is Augmented Intelligence?
Chapter 2: The Technology Infrastructure to Support Augmented Intelligence
Chapter 3: The Cycle of Data
Chapter 4: Building Models to Support Augmented Intelligence
Chapter 5: Augmented Intelligence in a Business Process
Chapter 6: Risks in Augmented Intelligence 75 Introduction
Chapter 7: The Criticality of Governance and Ethics in Augmented Intelligence
Chapter 8: The Business Case for Augmented Intelligence
Chapter 9: Getting Started on Your Journey to Augmented Intelligence
Chapter 10: Predicting the Future of Augmented Intelligence
References
Index
Content
Foreword
Preface
Why This Book? Why Now?
Why You Should Read This Book
What Is in This Book
About the Authors
Chapter 1: What Is Augmented Intelligence?
Chapter 2: The Technology Infrastructure to Support Augmented Intelligence
Chapter 3: The Cycle of Data
Chapter 4: Building Models to Support Augmented Intelligence
Chapter 5: Augmented Intelligence in a Business Process
Chapter 6: Risks in Augmented Intelligence 75 Introduction
Chapter 7: The Criticality of Governance and Ethics in Augmented Intelligence
Chapter 8: The Business Case for Augmented Intelligence
Chapter 9: Getting Started on Your Journey to Augmented Intelligence
Chapter 10: Predicting the Future of Augmented Intelligence
References
Index
Descriere
In this book the authors explain how combining human judgment with machine learning can lead to better outcomes for your business. You learn about advances in machine learning and which techniques are most appropriate to solve your business problem. You gain insight into managing the cycle of data management in order to build revenue.