The MIT Press
The AI Advantage: How to Put the Artificial Intelligence Revolution to Work Thomas H. Davenport MIT Press (October 2018) Charting “the path of artificial intelligence and cognitive technologies in mainstream businesses” [If anything, the insights in this book are even…
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The Age of Prediction: Algorithms, AI, and the Shifting Shadows of Risk Igor Tulchinsky and Christopher E. Mason The MIT Press (August 2023) A brilliant analysis of two abstractions that are increasingly shaping our lives According to Igor…
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Redesigning Work: How to Transform Your Organization and Make Hybrid Work for Everyone (Management on the Cutting Edge) Lynda Gratton The MIT Press (2023) Transforming work in terms of WHAT, WHO, HOW, and WHERE In Future Shock (1970), Alvin Toffler…
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The Future of Competitive Strategy: Unleashing the Power of Data and Digital Ecosystems (Management on the Cutting Edge) Mohan Subramaniam The MIT Press (November 2022) Here’s your choice: Either drive data with the right plan or be driven by someone…
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The Storm of Creativity Kyna Leski The MIT Press (November 2018) “Wanting to know something that you do not know is the creative process” Kyna Leski To what does the title of this book refer? Kyna Leski suggests that a…
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The Storm of Creativity Kyna Leski The MIT Press (November 2018) “Wanting to know something that you do not know is the creative process” Kyna Leski To what does the title of this book refer? Kyna Leski suggests that a…
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Open Strategy: Mastering Disruption from Outside the C-Suite Christian Stadler, Julia Hautz, Kurt Matzler, and Stephen Friedrich von den Eichen The MIT Press (October 2021) “If you want to go fast, go alone. If you want to go far, go…
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The Transformation Myth: Leading Your Organization Through Uncertain Times Gerald C.Kane, Rich Nanda, Ann Nguyen Phillips, and Jonathan R. Copulsky The MIT Press (September 2021) How companies strengthened by disruption use it to achieve high-impact innovations To what does the…
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Recommendation Engines (The MIT Press Essential Knowledge series) Michael Schrage The MIT Press (September 2020) How and why recommendation engines can help to create more valuable people I have not read in recent years a more entertaining or a more…
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Google’s Project Magenta: Using machine learning to create compelling music
In The Artist in the Machine, Arthur I. Miller provides a thorough examination of the world of AI-powered creativity. “Twenty-first century computers equipped with neural networks can learn the rules of baroque music from Bach’s scores and work out for…
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