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HBR Guide to AI Basics for Managers

part of the HBR Guide series

About HBR Guide to AI Basics for Managers

"From product design and financial modeling to performance management and hiring decisions-artificial intelligence and machine learning are becoming everyday tools for managers at businesses of all sizes. But the rewards of every AI system come with risks-and if you don't understand how to make sense of them, you're not going to make the right decisions. Whether you want to get up to speed quickly, could just use a refresher, or are working with an AI expert for the first time, HBR Guide to AI Basics for Managers will give you the information and skills you need. You'll learn how to: understand key terms and concepts; identify which of your projects and processes would benefit from an AI approach; deal with ethical issues before they come up; hire the best AI vendors; run small experiments; work better with your AI experts and data scientists"--

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  • Language:
  • English
  • ISBN:
  • 9781647824433
  • Binding:
  • Paperback
  • Pages:
  • 272
  • Published:
  • January 23, 2023
  • Dimensions:
  • 229x127x20 mm.
  • Weight:
  • 308 g.
  In stock
Delivery: 3-5 business days
Expected delivery: December 26, 2024
Extended return policy to January 30, 2025
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Description of HBR Guide to AI Basics for Managers

"From product design and financial modeling to performance management and hiring decisions-artificial intelligence and machine learning are becoming everyday tools for managers at businesses of all sizes. But the rewards of every AI system come with risks-and if you don't understand how to make sense of them, you're not going to make the right decisions. Whether you want to get up to speed quickly, could just use a refresher, or are working with an AI expert for the first time, HBR Guide to AI Basics for Managers will give you the information and skills you need. You'll learn how to: understand key terms and concepts; identify which of your projects and processes would benefit from an AI approach; deal with ethical issues before they come up; hire the best AI vendors; run small experiments; work better with your AI experts and data scientists"--

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