Several movies (around a thousand, really) have been preparing you for it, you know it is coming. You’ve known it for a long time now, yet it still feels like it’s too soon, like we are not ready yet, that you are not ready yet and simply don’t know how to feel about.
Artificial Intelligence inches ever so close to becoming mainstream each day that passes. Lots of people are against it since it would mean the end of their jobs for they can’t outperform a computer. Corporations, on the other hand, are very much banking on it, jumping at the first chance to automatize everything and reduce costs.
But you, where do you stand? Are you even informed enough to have a balanced opinion on the subject? Whichever the case may be, A.I. is happening and you better get knowledgeable on it with these books on artificial intelligence technology so you can plan accordingly your next career and consumer choices ahead of time. Good luck.
#1 Life 3.0 by Max Tegmark
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#2 Dear Machine: A Letter to a Super-Aware/Intelligent Machine (SAIM) by Greg Kieser
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#3 Crisis of Control by Peter J. Scott
In Crisis of Control, Peter Scott lays out the stark choices and consequences facing us in clear, provocative, and sometimes humorous language. This book is for those with the courage to face unpleasant facts head-on: the stakes could not be higher. Yet there is hope, and Scott shows a path that might lead us through the crucible to a future of limitless promise.
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#4 Stand Out In The Age Of The Consumer by Paul Kirwin
Kirwin’s goal is to impress upon brands the importance of turning their attention to the consumer and leveraging reviews the way consumers do. This approach improves marketing messaging, which in turn increases sales. E-commerce sites like Amazon, Best Buy, and Walmart have become large publishing houses for online reviews as consumers trust each other more than any brand-generated marketing or advertising.
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#5 The Decision Maker’s Handbook to Data Science by Stylianos Kampakis
– History of data science.
– Differences between AI, machine learning and statistics.
– Data management and building the right data strategy.
– Thinking like a data scientist (without being one).
– Hiring and managing data scientists.
– Building the right culture for data science.
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David Lewis from C.S. Lewis & Co. Publicists
Peter Scott from N/A
Hilary Reiter from Redhead Marketing & PR
Yasmin from Tesseract Academy Team
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