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Local Maximum: What Humans Can Learn from Computers to Improve Their Thinking and Decisions

的圖書
Local Maximum: What Humans Can Learn from Computers to Improve Their Thinking and Decisions Local Maximum: What Humans Can Learn from Computers to Improve Their Thinking and Decisions

作者:Taub 
出版社:Wiley
出版日期:2024-10-22
語言:英文   規格:精裝 / 288頁 / 普通級/ 初版
圖書選購
型式價格供應商所屬目錄
 
$ 1138
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商業理論與工具書
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圖書名稱:Local Maximum: What Humans Can Learn from Computers to Improve Their Thinking and Decisions

內容簡介

Break new ground in problem-solving and decision-making by learning from AI

A well-paid executive feels trapped in her very respected but unsatisfying job. A startup founder has paying customers, but knows that unless he ’fires’ them and pivots the business, his startup won’t make it. A senior government planner is tasked with undoing the nation’s reliance on outdated infrastructure.

These are all examples of individuals stuck in a Local Maximum; we’ve reached a peak, but not the one that fulfills the highest potential. In order to move up in our pursuits, we must first move back down - a realization which can lead to frustration, decision-making paralysis and lost opportunity.

In How to Move Up When the Only Way Is Down: Lessons from Artificial Intelligence for Overcoming Your Local Maximum, Judah Taub draws from his perspective guiding early stage AI startups, his years serving in military intelligence, and various experiences leading innovation throughout his career. With his off-the-beaten path perspective, Judah shares insights into how humans can achieve better decision-making by learning how AI overcomes local maximums.

What tech engineers already know is that with the rise of AI, we’ve developed new ways of addressing these limitations. These techniques, employed to save billions of dollars for global giants like Amazon and Google, are equally applicable to each of us.

To show how, Judah shares a variety of real world examples, involving Olympic high jumpers, the transition of Ethiopian immigrants from gas station attendants to high tech engineers, the evolution of playing cards into Nintendo, the development of ChatGPT, the link between wildfires and hedge fund managers - and much more.

Explore:

  • How to anticipate and identify Local Maximums
  • How to overcome psychological Local Maximum blocks and biases
  • How to build skills and apply strategies to succeed in complex decision-making
  • How Local Maximum thinking can help overcome major global challenges


The book is equipped to benefit anyone facing complex decisions, or obstacles to their personal or professional goals. How to Move Up When the Only Way is Down is designed to transform readers’ decision-making by recognizing Local Maximums and skill building based on lessons from AI.

 

作者簡介

JUDAH TAUB is the founder and managing partner of Hetz Ventures, one of Israel’s leading early-stage venture capital firms. He has previously served in an elite IDF commando unit and a classified intelligence unit, and has lectured on creativity and strategic thinking at Wharton, Yale, Harvard Business School, and to the military.

For more, visit judahtaub.com

 

詳細資料

  • ISBN:9781394278091
  • 規格:精裝 / 288頁 / 普通級 / 初版
  • 出版地:美國
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