The Business Power of Human–Machine Collaboration
The AI revolution is moving at a breakneck speed. Organizations are beginning to invest in innovative ways to monetize their data through the use of artificial intelligence. Businesses need to understand the reality of AI. To be successful, it is imperative that organizations understand that augmented intelligence is the secret to success. Augmented Intelligence: The Business Power of Human–Machine Collaboration is about the process of combining human and machine intelligence. This book provides business leaders and AI data experts with an understanding of the value of augmented intelligence and its ability to help win competitive markets.
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
Table of Contents
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
Judith S. Hurwitz is a technology consultant and strategist, analyst, author, and thought leader. As president of a research and consulting firm—Hurwitz & Associates— Judith’s work has focused on emerging technology, including cloud computing, big data, software development, computing management, and security. Prior to starting Hurwitz & Associates, Judith founded two other companies— CycleBridge, a life science software consulting firm, and Hurwitz Group, Inc., a research and analyst firm. She has worked at various corporations, including Apollo Computer and John Hancock. Judith serves on several advisory boards for emerging companies, and she is a frequent speaker at technology conferences as well as a guest lecturer. In 2011, she authored a business leadership book, Smart or Lucky? How Technology Leaders Turn Chance into Success (Jossey-Bass, 2011). Judith is a coauthor of nine books in addition to Augmented Intelligence, including Cognitive Computing and Big Data Analytics (Wiley Publishing, 2015), Cloud for Dummies (Wiley Publishing, 2020), and Big Data for Dummies (Wiley Publishing, 2013). In addition, she contributed a chapter to Intuition, Trust, and Analytics (CRC Press/Taylor & Francis Group, 2018). Judith holds B.S. and M.S. degrees from Boston University. She is a member of Boston University’s College of Arts & Sciences Dean’s Advisory Board.
Henry Morris is a consultant and thought leader in applying analytics, business processes, and governance to business systems. He served as Senior Vice President for Worldwide Software and Services Research and was a Research Fellow at International Data Corporation (IDC). During his tenure at IDC, Henry founded the research practice on analytics, coining the now industry-standard term "analytic applications." Henry is renowned for his work on analytics software that is purpose-built to support decision-oriented business processes. Henry was also Assistant Professor of Philosophy and Religion at Colgate University, Lecturer at Tufts University Experimental College (artificial intelligence and the changing workplace), and Lecturer at Northeastern University and Bentley University (in technical writing.
Candace Sidner is a computer scientist, researcher, and consultant with a long-standing interest in human communication and collaboration, and their application to agents, robots, and interfaces. Candy is especially focused on those systems that are using gesture, social behavior, speech, and natural language. She is a Research Professor at Worcester Polytechnic Institute (WPI). She was Principle Investigator (PI) of the Always On Relational Agent project with Chuck Rich at WPI and Tim Bickmore at Northeastern University, and co-PI for the ONR-sponsored WPI project: Collaborative Robot Learning from Demonstration Using Hierarchical Task Networks. Candy is a Fellow and past Councilor of the Association for the Advancement of Artificial Intelligence, was elected a Fellow of the Association for Computational Linguistics, and is a senior member of the IEEE..
Daniel Kirsch is a consultant, analyst, and thought leader focused on how emerging technologies such as AI, machine learning, and advanced analytics are impacting businesses. Dan is particularly interested in how businesses use these emerging technologies to alter their approaches to information security, governance, risk, and ethics. Dan provides advisory services directly to leadership at technology vendors that design and deliver security solutions to the market. He assists them in aligning their solutions with enterprise requirements. Dan is viewed as an expert in understanding security solutions and mapping them to the complex needs of business across industries. He developed the Hurwitz & Associates security audit and assessment tools.