This was an extremely interesting collection of essays for everyone who wants to learn more about AI.
I mainly got this for my partner who is studying IT and cyber security, but ended up reading through it myself.

This book has a great collection of articles explaining what is artificial intelligence, how it affects the modern business landscape, what are the implications to ordinary consumers, and so much more.

Readers will also benefit greatly with the Take Aways provided by the end of each article. This is a great way to summarize the main points discussed; so if the reader is pressed for time he/she can jump right to the take away section.

The articles are well written, carefully selected, and easy to understand. I would definitely recommend this book to anyone who wants to get fast and in-depth understanding of the basic concepts of artificial intelligence.

ARTIFICIAL INTELLIGENCE from Harvard Business Review Press is part of a series which also has texts dealing with Blockchain and Cybersecurity. This one, on artificial intelligence (AI) points out that companies that wait to adopt may never catch up and suggests some questions that ALL employees should be able to answer: How does AI work? What is it good at? And what should it never do? The contributors' experience and background range from academicians (at University of Toronto, MIT, Stanford) to practitioners (at Facebook, Accenture, and more). One, Andrew Ng, currently CEO of Landing AI and who has worked for Baidu, Coursera, and Google Brain describes how to choose your first AI project. Others write about collaborative intelligence as humans and AI join forces or about the future of using far less data, developing efficient robot reasoning with less reliance on deep learning from patterns. Each essay or reprinted article ends with a useful "takeaways" section. ARTIFICIAL INTELLIGENCE focuses on a topic which is highly interesting for many of our students and offers varied perspectives so that our business faculty could choose to incorporate a few selections (e.g., about ethics, bias and lack of transparency or about AI's varied impact on work) for class readings.

An excellent collection of essay really useful for people who want to understand what AI is and the impacts.
It's highly recommended!
Many thanks to the publisher and Netgalley for this ARC, all opinions are mine.

Excellent collection of essays on Artificial Intelligence by experts in the field. While not particularly an introduction to AI for business people, it does present its advantages and challenges from a business point of view, so it's not full of technical jargon.
Highly recommended for business people who want to know how AI can impact their business.

This is an excellent high-level view of AI at the moment. Like any business book, you're rating will depend on what you're seeking. Because there is no technical language, it has lots of interesting examples and each chapter (which is really a reprinted article) has a nice summary at the end. If you're seeking an intelligent and insightful set of authors that layout broad strokes, this is highly recommended.

I really appreciate the advanced copy for review!!

I’ve been working with data for the majority of my career. I started out with Executive Reporting, moved on to Business Intelligence, which then became Business Analytics, and added in Performance Management and Predictive capabilities. Eventually this led to Artificial Intelligence, Machine Learning, Data Science, and more.

Artificial Intelligence is much like other technologies in that it is not a question of whether your organization will adopt AI, but rather when and how to tackle that first project. As with most new technologies, that first project is the most daunting of all. I have seen many companies dive in head first and quickly try to keep their heads above water. It’s not difficult, but it’s a matter of identifying the right use cases and the right place to start within your company. Getting started is key and if you haven’t already started, you may already be behind the curve compared to your peers.

The articles in this book are a good compilation that can help companies get past that first bump in the road and begin their AI journey in earnest. This would be a great read for any team that is just starting out to help set the stage for their conversations and set the wheels in motion. It would also be a good read for any team that may have stumbled on their first foray and need to get things back on track quickly.

As always HBR has solid articles and advice. A pleasure to read these in a combined offering.