Exponential - Azeem Azhar

Exponential

How Accelerating Technology Is Leaving Us Behind and What to Do About It

(Autor)

Buch | Softcover
352 Seiten
2021
Random House Business Books (Verlag)
978-1-84794-291-3 (ISBN)
18,65 inkl. MwSt
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The Times and Financial Times Book of the Year

'Comprehensive but lively . . . Highly recommended!' Reid Hoffman, co-founder of LinkedIn and author of Blitzscaling

As technology accelerates, the human mind struggles to keep up - and our companies, workplaces, and democracies get left behind. This is the exponential gap.

Now, a leading technologist explains how this exponential gap is rewiring business and society. Exploring corporations and the workplace, diplomacy and big tech, Exponential makes sense of a period of dizzyingly fast change - and reveals how we should respond.
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'Valuable and timely . . . The importance of the book lies in its diligent and comprehensive definition of a new phase in human affairs . . . An enticing and valuable read.' Sunday Times

'Read this book if you are interested in how we can design a more inclusive and sustainable system with a re-direction of technological change at its centre.' Mariana Mazzucato, UCL professor and author of The Value of Everything and Mission Economy

'Azeem Azhar is one of the best-regarded thought leaders in the industry . . . He has a broad understanding of the ways technology can be used to solve our biggest problems, shape our society, and bridge cultural divides.' Daniel Ek, co-founder and CEO of Spotify

Azeem Azhar is the creator of Exponential View, a leading platform for in-depth tech analysis. His weekly newsletter is read by 200,000 people from around the world, and his hit podcast has featured guests including Yuval Noah Harari, Tony Blair and Kate Raworth. A member of the World Economic Forum's Global Futures Council, Azhar contributes to publications including the Financial Times, Wired and the MIT Technology Review.

Erscheinungsdatum
Verlagsort London
Sprache englisch
Maße 153 x 234 mm
Gewicht 428 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Naturwissenschaften
Wirtschaft Volkswirtschaftslehre Makroökonomie
ISBN-10 1-84794-291-1 / 1847942911
ISBN-13 978-1-84794-291-3 / 9781847942913
Zustand Neuware
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