Human + Machine

Paul R. Daugherty , H. James Wilson

Human + Machine

28min

28min

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Artificial intelligence is no longer a futuristic notion, but already an integral part of our ecosystem. Companies that succeed in understanding how best to use it to their advantage will become market leaders, leaving the others behind. Human + Machine shows how the transformation of business processes is at the core of the changing AI paradigm, aimed at creating increasingly closer collaboration between man and machines. The book tells of how companies at the forefront of the IT field are using artificial intelligence to accelerate innovation and increase profitability, while also outlining the main steps to follow to achieve similar results.

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Analysis and key concepts

01.

Humans and machines work in unison to achieve extraordinary results in the third wave of business transformation

02.

Filling the “missing middle”: reimagining business processes so that humans and machines can perform at their best

03.

Business processes that are repetitive, reproductions, or redundant are ready to be automated

04.

The rebirth of human labour in automated environments: AI frees up time, creativity, and human capital, saving people from robotic work

05.

The advantages of using AI in Research & Development: increase in ideas, cost savings, faster product development and improved quality

06.

Managerial challenges brought by AI: the MELDS framework

07.

Eight “fusion skills” to augment man-machine collaboration

08.

Quotes

09.

Take-home message

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Many useful tips to:

  • Reinvent business processes to maximise the benefits that can be brought about by AI and boost human ability.
  • Understand that AI will not substitute human labour, but will instead lead to the creation of new jobs in which man and machine work in unison.
  • Understand the fundamental human abilities that are necessary in the age of AI.
  • Learn the difference between companies that achieve only minimal improvements, and those that achieve revolutionary performance thanks to AI.

Paul R. Daugherty is the Chief Technology and Innovation Officer at Accenture, where for years he has led a research team on artificial intelligence, as well as founding the Accenture Artificial Intelligence Practice. He studied computer engineering at the University of Michigan, as well as having attended a course on cognitive science and psychology, which brought him closer to the world of AI. During his professional career, he has worked with thousands of business and government leaders, helping them to apply technology to transform their organisations. He is a speaker and writer on manufacturing and technology, appearing frequently in the press, such as the Financial Times, Forbes, and Harvard Business Review. In 2019, he received the FASPE Award for Ethical Leadership, and was included as one of the 100 technology leaders by Computerworld in 2017. He is a passionate advocate for gender equality, inclusion, and diversity in the field of technology and serves on the board of directors of Girls Who Code. He was recognised by the Institute for Women’s Leadership as a business leader who has supported diversity in the workplace and the advancement of women. He is a member of the World Economic Forum Global Future Council on the Future of Artificial Intelligence and Robotics and serves on the advisory committee for Computer Science and Engineering at the University of Michigan. 

H. James (Jim) Wilson is Managing Director of Information Technology and Business Research at Accenture. Before joining Accenture, he was involved in research and innovation programmes at Babson Executive Education, Bain & Company, and various other business think tanks. He is the co-author of The New Entrepreneurial Leader and is a long-time contributor to the Harvard Business Review and The Wall Street Journal on the topic of how smart machines can improve employee and business performance. He holds a BA from College of the Holy Cross and a MA from Boston College. He has worked with governments, organisations, universities, and businesses – from NASA to the NFL Players Association – on the application of AI technologies.

Publishing house:

Harvard Business Review Press

Year:

2018

Pages:

264

ISBN:

978-1633693869