Human + Machine: Reimagining Work in the Age of AI

Paul Daugherty (BSE Computer Engineering, 1986) is co-author of Human + Machine: Reimagining Work in the Age of Artificial Intelligence, a seminal book providing a much-needed management playbook for the business of AI, recently published by Harvard Press.

In Human + Machine, Daugherty and H. James Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization “” whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly “” or to completely reimagine them. AI is changing all the rules of how companies operate.

Human + Machine: Reimagining Work in the Age of AI

Artificial intelligence has the potential to radically reshape business and society, and to transform the way we work and live “” unlike anything we’ve seen since the Industrial Revolution. Organizations that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Based on research gathered from 1,500 organizations and documentd in Human + Machine: Reimagining Work in the Age of AI, this talk will shed
light on how organizations are deploying AI to leap ahead of competitors and how
the Missing Middle is the secret to humans powerfully harnessing the opportunity
and the promise of AI for the greater good.
Paul Daugherty is Chief Technology & Innovation Officer at Accenture, where he oversees overall technology strategy, research and development, and ecosystem relationships, and is responsible for developing Accenture’s business in emerging technologies such as Artificial Intelligence, Cloud Computing, and Blockchain.

Mr. Daugherty also serves as chairman of the board of directors of Avanade, a global IT services provider. He is on the boards of directors for GirlsWhoCode and for the Computer History Museum, and is a member of the the Computer Science and Engineering advisory board at the University of Michigan. He has received numerous recognitions for his achievements in business transformation, for promoting diversity in the workplace, and for promoting the advancement of women in the areas of technology and other STEM fields.