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Human + Machine

Reimagining Work in the Age of AI

By: Paul R. Daugherty and H. James Wilson

0H 35M
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4.3/5 (411)
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6 videobook chapters 35M
We’re living in a time of rapid technological innovation, with AI reshaping how we work and interact. Through decades of research and real-world examples, author Paul R. Daugherty introduces how businesses should explore AI as a way to unlock new potential while emphasizing the importance of ethics and trust.
This section dives into the evolving power of AI. Daughterty explains the three core branches of AI and their transformative impact across industries. Along the way, we'll meet the pioneers of Praxis Labs and Writer, who say it's evident that AI will become integral to almost every job, but there must be a key focus on empowering human skills, fostering collaboration, and redefining work.
This chapter introduces the concept of the "missing middle," where humans and AI amplify each other’s strengths, paving the way for new roles, opportunities, and even jobs yet to be invented. BMW’s work in the field offers a glimpse into the future of human-machine collaboration in manufacturing, including a robot dog who monitors plant equipment.
The MELDS framework outlines five principles for integrating AI effectively into organizations. It emphasizes reimagining workflows, fostering innovation, and ensuring ethical, responsible use of AI. Co-author Jim Wilson provides real-world examples, like AI-powered assistants and safety tools, that show how businesses can enhance efficiency and decision-making while empowering employees with the skills to collaborate with AI.
Authors Daugherty and Wilson map out the eight fusion skills for companies to consider. These skills drive continuous learning, seamless AI integration, and relentless innovation - unlocking AI's potential while keeping the focus on human impact.
From AI assistants to smarter systems, technology is becoming more intuitive and integrated into our daily tasks. But the revolution isn’t automatic—managers and the C-suite must lead the way to stay ahead.

What you'll learn

Length: 4 min

We’re living in a time of rapid technological innovation, with AI reshaping how we work and interact. Through decades of research and real-world examples, author Paul R. Daugherty introduces how businesses should explore AI as a way to unlock new potential while emphasizing the importance of ethics and trust.

Length: 6 min

This section dives into the evolving power of AI. Daughterty explains the three core branches of AI and their transformative impact across industries. Along the way, we'll meet the pioneers of Praxis Labs and Writer, who say it's evident that AI will become integral to almost every job, but there must be a key focus on empowering human skills, fostering collaboration, and redefining work.

Length: 6 min

This chapter introduces the concept of the "missing middle," where humans and AI amplify each other’s strengths, paving the way for new roles, opportunities, and even jobs yet to be invented. BMW’s work in the field offers a glimpse into the future of human-machine collaboration in manufacturing, including a robot dog who monitors plant equipment.

Length: 7 min

The MELDS framework outlines five principles for integrating AI effectively into organizations. It emphasizes reimagining workflows, fostering innovation, and ensuring ethical, responsible use of AI. Co-author Jim Wilson provides real-world examples, like AI-powered assistants and safety tools, that show how businesses can enhance efficiency and decision-making while empowering employees with the skills to collaborate with AI.

Length: 7 min

Authors Daugherty and Wilson map out the eight fusion skills for companies to consider. These skills drive continuous learning, seamless AI integration, and relentless innovation - unlocking AI's potential while keeping the focus on human impact.

Length: 3 min

From AI assistants to smarter systems, technology is becoming more intuitive and integrated into our daily tasks. But the revolution isn’t automatic—managers and the C-suite must lead the way to stay ahead.

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More about Human + Machine

Human + Machine explores the collaboration between humans and artificial intelligence (AI) to enhance productivity, creativity, and problem-solving. In this videobook, authors Paul R. Daugherty and H. James Wilson show that rather than replacing humans, AI is viewed as a tool to augment human capabilities, allowing for more efficient and effective work. This videobook dives into this next wave of technology by interviewing leaders at companies such as BMW, Writer, and Praxis Labs, and presents ways that you can implement a human-centric approach to AI in your own organization and everyday lives, ensuring that technology improves the quality of life both at work and at home.

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Meet the Author

Paul R. Daugherty

Paul Daugherty is Accenture’s Chief Technology & Innovation Officer, overseeing the company's Technology Innovation & Ecosystem group. He co-authored HUMAN + MACHINE: Reimagining Work in the Age of Artificial Intelligence with H. James Wilson. Daugherty drives Accenture’s technology strategy and innovation, leading Accenture Ventures and the firm’s global alliances. He has played a key role in shaping Accenture’s digital business, cloud computing, and big data services. A passionate advocate for gender equality and STEM inclusion, he also serves on several boards, including Avanade and Girls Who Code. He holds a degree in computer engineering from the University of Michigan.

H. James Wilson

H. James Wilson is Managing Director of Information Technology and Business Research at Accenture Research and co-author of HUMAN + MACHINE: Reimagining Work in the Age of Artificial Intelligence. He previously led research at Babson Executive Education and Bain & Company. Wilson is also the author of The New Entrepreneurial Leader and contributes regularly to Harvard Business Review and The Wall Street Journal. His research focuses on how emerging technologies impact worker and organizational performance. He holds a BA from the College of the Holy Cross and an MA from Boston College and is based in San Francisco.

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