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HBR's 10 Must Reads on AI, Analytics, and the New Machine Age

HBR's 10 Must Reads Series

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HBR's 10 Must Reads on AI, Analytics, and the New Machine Age

By: Harvard Business Review, Michael E. Porter, Thomas H. Davenport, Paul Daugherty, H. James Wilson
Narrated by: Shawn Compton, Teri Schnaubelt
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About this listen

Machine learning and data analytics are powering a wave of groundbreaking technologies. Is your company ready?

We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand how these technologies work together, how to adopt them, and why your strategy can't ignore them.

In this book, you'll learn how: data science, driven by artificial intelligence and machine learning, is yielding unprecedented business insights; blockchain has the potential to restructure the economy; drones and driverless vehicles are becoming essential tools; 3-D printing is making new business models possible; augmented reality is transforming retail and manufacturing; smart speakers are redefining the rules of marketing; and humans and machines are working together to reach new levels of productivity.

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

©2019 Harvard Business Publishing Corporation (P)2019 Gildan Media, LLC Computer Science Forecasting & Strategic Planning History & Culture Leadership Machine Theory & Artificial Intelligence Management Management & Leadership Business Technology Machine Learning Data Science Artificial Intelligence Innovation
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wow!

I came in expecting to grasp an overview of the future of automation in AI and boy did i get that and more


Written by some of the best & narrated with great case studies, this book will be one to revisit in a year to realise how contemporary AI already is in our current world!

Download it, learn it, and lets move collaboratively towards this future 'augmented' with AI!

incredible Insight into this Evolving World

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I got this book because I was keen on an overall understanding on AI. Instead it was a bunch of different case studies from about 2015.

They really should do a second volume on AI. This was not helpful to me at all.

No longer relevant on AI in 2023

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