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Summary of Ajay Agrawal, Joshua Gans & Avi Goldfarb's Prediction Machines
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- FormatePub
- ISBN8822529786
- EAN9798822529786
- Date de parution11/06/2022
- Protection num.Digital Watermarking
- Taille1 Mo
- Infos supplémentairesepub
- ÉditeurA PRECISER
Résumé
Please note: This is a companion version & not the original book.
Sample Book Insights:
#1 AI is everywhere. It is in our phones, cars, shopping experiences, romantic matchmaking, hospitals, banks, and all over the media. No wonder corporate directors, CEOs, vice presidents, managers, team leaders, and entrepreneurs are anxiously racing to learn about AI: it is about to fundamentally change their businesses.
#2 The new wave of artificial intelligence does not bring us intelligence, but rather a critical component of intelligence: prediction.
Each startup in our lab is based on the benefits of better prediction. We provide you with an understanding of AI's impact on management and decisions, as well as on the economy. #3 Prediction Machines is not a recipe for success in the AI economy. Instead, it emphasizes trade-offs. More data means less privacy. More speed means less accuracy. More autonomy means less control. #4 The current wave of advances in artificial intelligence doesn't actually bring us intelligence, but instead a critical component of intelligence: prediction.
Prediction is a central input into decision-making.
Each startup in our lab is based on the benefits of better prediction. We provide you with an understanding of AI's impact on management and decisions, as well as on the economy. #3 Prediction Machines is not a recipe for success in the AI economy. Instead, it emphasizes trade-offs. More data means less privacy. More speed means less accuracy. More autonomy means less control. #4 The current wave of advances in artificial intelligence doesn't actually bring us intelligence, but instead a critical component of intelligence: prediction.
Prediction is a central input into decision-making.
Please note: This is a companion version & not the original book.
Sample Book Insights:
#1 AI is everywhere. It is in our phones, cars, shopping experiences, romantic matchmaking, hospitals, banks, and all over the media. No wonder corporate directors, CEOs, vice presidents, managers, team leaders, and entrepreneurs are anxiously racing to learn about AI: it is about to fundamentally change their businesses.
#2 The new wave of artificial intelligence does not bring us intelligence, but rather a critical component of intelligence: prediction.
Each startup in our lab is based on the benefits of better prediction. We provide you with an understanding of AI's impact on management and decisions, as well as on the economy. #3 Prediction Machines is not a recipe for success in the AI economy. Instead, it emphasizes trade-offs. More data means less privacy. More speed means less accuracy. More autonomy means less control. #4 The current wave of advances in artificial intelligence doesn't actually bring us intelligence, but instead a critical component of intelligence: prediction.
Prediction is a central input into decision-making.
Each startup in our lab is based on the benefits of better prediction. We provide you with an understanding of AI's impact on management and decisions, as well as on the economy. #3 Prediction Machines is not a recipe for success in the AI economy. Instead, it emphasizes trade-offs. More data means less privacy. More speed means less accuracy. More autonomy means less control. #4 The current wave of advances in artificial intelligence doesn't actually bring us intelligence, but instead a critical component of intelligence: prediction.
Prediction is a central input into decision-making.
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