How Google WorksGrand Central Publishing, 23 sept. 2014 - 320 pages Seasoned Google executives Eric Schmidt and Jonathan Rosenberg provide an insider's guide to Google, from its business history and disruptive corporate strategy to developing a new managment philosophy and creating a corporate culture where innovation and creativity thrive. Seasoned Google executives Eric Schmidt and Jonathan Rosenberg provide an insider's guide to Google, from its business history and disruptive corporate strategy to developing a new managment philosophy and creating a corporate culture where innovation and creativity thrive. Google Executive Chairman and ex-CEO Eric Schmidt and former SVP of Products Jonathan Rosenberg came to Google over a decade ago as proven technology executives. At the time, the company was already well-known for doing things differently, reflecting the visionary-and frequently contrarian-principles of founders Larry Page and Sergey Brin. If Eric and Jonathan were going to succeed, they realized they would have to relearn everything they thought they knew about management and business. Today, Google is a global icon that regularly pushes the boundaries of innovation in a variety of fields. How Google Works is an entertaining, page-turning primer containing lessons that Eric and Jonathan learned as they helped build the company. The authors explain how technology has shifted the balance of power from companies to consumers, and that the only way to succeed in this ever-changing landscape is to create superior products and attract a new breed of multifaceted employees whom Eric and Jonathan dub "smart creatives." Covering topics including corporate culture, strategy, talent, decision-making, communication, innovation, and dealing with disruption, the authors illustrate management maxims ("Consensus requires dissension," "Exile knaves but fight for divas," "Think 10X, not 10%") with numerous insider anecdotes from Google's history, many of which are shared here for the first time. In an era when everything is speeding up, the best way for businesses to succeed is to attract smart-creative people and give them an environment where they can thrive at scale. How Google Works explains how to do just that. |
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... challenging to set up, but once the details had been worked out, John and team had the freedom to set their own hiring practices, create their own offices, work unfettered across numerous Google product teams (“breaking walls,” John ...
... challenging to set up, but once the details had been worked out, John and team had the freedom to set their own hiring practices, create their own offices, work unfettered across numerous Google product teams (“breaking walls,” John ...
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... Moving the bets out from under the Google umbrella has helped Googlers to focus more on driving growth and innovation in the core business. percent of. Think. big,. act. small. Innovation can be particularly challenging in a company of ...
... Moving the bets out from under the Google umbrella has helped Googlers to focus more on driving growth and innovation in the core business. percent of. Think. big,. act. small. Innovation can be particularly challenging in a company of ...
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Eric Schmidt, Jonathan Rosenberg. Innovation can be particularly challenging in a company of Google's size. In a way, the idea to move the bets such as selfdriving cars and Fiber out from under Google solved the easier problem: how to ...
Eric Schmidt, Jonathan Rosenberg. Innovation can be particularly challenging in a company of Google's size. In a way, the idea to move the bets such as selfdriving cars and Fiber out from under Google solved the easier problem: how to ...
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... challenging than originally envisioned, but it got a real boost in the 1980s when computer scientists started developing “deep neural networks.” These are layers of computer algorithms that work together to recognize patterns in data ...
... challenging than originally envisioned, but it got a real boost in the 1980s when computer scientists started developing “deep neural networks.” These are layers of computer algorithms that work together to recognize patterns in data ...
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