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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... Hiring Is the Most Important Thing You Do The herd effect Passionate people don't use the word Hire learning animals The LAX test Insight that can't be taught Expand the aperture Everyone knows someone great Interviewing is the.
... Hiring Is the Most Important Thing You Do The herd effect Passionate people don't use the word Hire learning animals The LAX test Insight that can't be taught Expand the aperture Everyone knows someone great Interviewing is the.
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... is the rapid progress that has been made in machine learning. Computers, as we all know, are great at calculating things, but not nearly as good at solving the mushy, complex problems that humans deal with every day (“Where should we.
... is the rapid progress that has been made in machine learning. Computers, as we all know, are great at calculating things, but not nearly as good at solving the mushy, complex problems that humans deal with every day (“Where should we.
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... learning comes in. It refers to the idea that machines can actually learn and get smarter as they go. They no longer have to be programmed with the answers (or the formulas to calculate the answer) from the outset; they can figure it ...
... learning comes in. It refers to the idea that machines can actually learn and get smarter as they go. They no longer have to be programmed with the answers (or the formulas to calculate the answer) from the outset; they can figure it ...
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... learning platform, now called TensorFlow. Machine learning is still in its infancy: Computers are stumped by problems that a four-year-old solves routinely, like understanding natural language or naming dinosaurs. We hope that by making ...
... learning platform, now called TensorFlow. Machine learning is still in its infancy: Computers are stumped by problems that a four-year-old solves routinely, like understanding natural language or naming dinosaurs. We hope that by making ...
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... learning platforms, computers can be trained to solve that problem. In our conclusion to How Google Works, we speculate about the next smart creative, toiling away in a garage, lab, or conference room somewhere on a new venture, intent ...
... learning platforms, computers can be trained to solve that problem. In our conclusion to How Google Works, we speculate about the next smart creative, toiling away in a garage, lab, or conference room somewhere on a new venture, intent ...
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