Augmented Intelligence: 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.

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What experts are saying

“I will have my entire management team read Augmented Intelligence. It’s a refreshingly practical approach to the process and skill changes needed to take full advantage of advances in machine learning.”

– David Kenny, CEO & Chief Diversity Officer, The Nielsen Company

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“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

About the Book

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.

Foreword

“Artificial intelligence (AI) has been around for decades. AI has long peaked our imagination about what is possible with this powerful technology for good and for evil. There are a vast number of instances in which AI has played a role in both our culture and in our desire to create more
sophisticated systems. In fact, AI has captured the imagination of data scientists and fiction writers for decades. Alan Turing introduced seminal work on the meaning of artificial intelligence in the 1940s with his famous Turing test. In the 1960s project, ELIZA gave us a glimpse into the future of artificial intelligence–based communications.Show MoreELIZA, a project designed at MIT’s artificial intelligence lab was one of the first natural language processing computer programs that created a way for humans to communicate with machines. Early science fiction novels were obsessed with
artificial intelligence. For example, science fiction novels such as Metropolis, written by 1925 by German writer Thea von Harbou imagined the world of the year 2026, where humans and robots would live together but engage in massive conflicts. In the last few years, AI has re-emerged due to two main factors: the unprecedented compute ability to crunch huge amounts of data and with it new and improved machine learning algorithms and the brilliant marketing buzz of AI & ML, which, by and large, replaced its predecessor, big data, as the hottest buzz in the Industry. However, artificial intelligence is way more than a passing fad. It is already a major part of our daily lives and will continue to accelerate. It is clear that there is an enormous amount of accessible data. We now have the ability to synthesize this massive amount of data in order to better understand everything from changing customer behaviors to the ability to anticipate what customers will want to buy in the future. With the movement toward AI, we can improve our ability to more accurately predict future business trends and requirements. AI’s impact on modern medicine cannot be overlooked. AI will help to analyze complex data to support the physician’s ability to customize effective treatments for patients. Across industries we are seeing important uses of AI that will be transformative. Although AI has many types and forms, the most impactful in the immediate future is augmented intelligence. Augmented intelligence has have profound ramifications because it empowers humans to truly leverage data to make better-informed decisions. The goal of augmented intelligence is not to replace people or automate them out of existence but to enable them to make better decisions based on complex data. In fact, the collaboration between humans and machines is the key enabler to our ability across industries to transition to the next stage of the information revolution. One of the greatest impacts of augmented intelligence is the need to determine the accuracy of data in context. Understanding the context of data and the ability to actually trust this information is one of the most critical issues plaguing businesses today. If data can’t be trusted or is inaccurate, decisions that are made based on that data could proof to be catastrophic. In
addition, data must be managed from a security, privacy, compliance, and risk perspective. 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

Contact

Feedback for the authors? Send an email to authors@hurwitz.com

Podcast

Peter Schooff, Editor-in-Chief and Co-Founder of Data Decisioning November 14, 2019

“Listen to my podcast with Judith Hurwitz, President of Hurwitz & Associates and a longtime top analyst. Judith is co-author of the book, Augmented Intelligence: The Business Power of Human–Machine Collaboration (available in early December). In this podcast we discuss augmented intelligence; how AI won’t replace, but will complement the work of industry experts; the need for high quality, accurate data; neural networks; and the need to build hybrid teams of data scientists alongside corporate management to really understand the problem that augmented intelligence is trying to solve.”

Listen here:

Listen to Judith and Peter discuss AI

About the Authors

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 Show More 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.