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Prediction Machines

The Simple Economics of Artificial Intelligence

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Prediction Machines

By: Ajay Agrawal, Joshua Gans, Avi Goldfarb
Narrated by: LJ Ganser
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About this listen

"What does AI mean for your business? Read this book to find out." (Hal Varian, Chief Economist, Google)

Artificial intelligence does the seemingly impossible, magically bringing machines to life - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.

But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity - operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete.

Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2018 Ajay Agrawal, Joshua Gans, Avi Goldfarb (P)2018 Audible, Inc.
Economics Forecasting & Strategic Planning Machine Theory & Artificial Intelligence Management Business Artificial Intelligence Data Science Machine Learning
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Education insights on AI

Great wide view on narrow AI and the potential it brings to the future of work and society and some deeper insights around AI as a technology.

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The book was OK but did not bring the wow moment!

The content could have been richer when it came to connecting AI to business and industry. I don’t mean that it should have been technical.

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A realistic look at Machine Learning and AI

I found this to be an interesting book on Machine Learning and the Narrator keeps you engaged. It described how we can benefit from AI in our current generation. It clearly distinguishes AI and AGI and gives the pros and cons of regulation over data and compares the approaches different countries are taking on training their algorithms.

This answered my questions on what makes a machine smart?, what is algorithmic bias, should we be worried about automation taking over jobs? what will give countries a lead in AI? it doesn't overhype the technology but gives good examples of how prediction machines will become part of most of the devices we interact with in our daily lives

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prediction machine and mans judgement~☆

this has been a fascinating look at Ai/prediction machines, as used today, enhancing our life experiences/economies, with the caveat that it could be used by man for our subjugation too.

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1 person found this helpful