Best books to read about Artificial Intelligence

Artificial Intelligence sounds like a scary topic. Robots and computers taking over the world? No thanks!

But AI is much more than the Jetsons-based fantasies we’ve all come to associate with programming. AI is responsible for advancements in healthcare, agriculture, e-commerce and shopping, and, of course, marketing.

Here are just a few books that lend insight to the reality of Artificial Intelligence, and why, we here at, think it’s the future of marketing automation.

1. Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell

In Mitchell’s book, she asks important questions about how AI functions, whether the programs really are considered “intelligent”, and what happens when they fail. She also discusses how human-like we expect AI programs to become and whether we should worry about these advancements surpassing human achievement. Definitely a great read to get a base grip on machine learning, automation and more.

2. AI Advantage: How to Put the Artificial Intelligence Revolution to Work by Thomas H. Davenport

This is a great read for anyone looking to use Artificial Intelligence to their advantage in a business setting. Davenport covers what AI technologies are readily available to companies and gives practical examples to use them professionally. A must-read for business owners!

3. The Master Algorithm by Pedro Domingos

Making data-based decisions is huge for businesses of any size, and algorithms are what drive how we interact with buyers and prospects online. The Master Algorithm is an essential overview for those wondering how and when the quest for universal learning through data will happen.

4. Human + Machine: Reimagining Work in the Age of AI by Paul Daugherty 

At its very core, AI is meant to help businesses shift the transformation of processes – from everyday customer service (like our sales chatbot), to keeping track of employee productivity. As humans and machines collaborate more and more, these processes become more fluid and intuitive, enabling businesses to grow and reimagine the way they operate, and how they generate revenue. This book discusses how we will continue to use machine learning to further our producitivity.

5. Deep Learning by Ian Goodfellow

This book dives into the more mathematical and conceptual background of AI, covering topics like algebra, probability theory, information theory, machine learning and more. Goodfellow reviews AI applications like natural language processing, recommendation systems and video games to offer a perspective on how these technologies can be used practically and safely.

So it’s time to stop shying away from terms like artificial intelligence, machine learning and automation. Allowing an algorithm or computer program to take the heavy load of something like marketing off of the plate of a busy business owner doesn’t mean the robots are taking over!