Really nice book with a pragmatic approach to the problems. Book structure is well designed. Maybe a more visual approach would help on getting the grasp of the book

There’s no doubt that artificial intelligence is going to change nearly every aspect of the world around us in the coming years. While some are still in denial of this fact, many others are charging ahead, and exploring what it may offer. Driving Digital Transformation Through Data and AI: A Practical Guide to Delivering Data Science and Machine Learning Products hopes to look at just what AI may offer us now, and in the future.

Driving Digital Transformation Through Data and AI

There’s so much being writing about artificial intelligence and how technology is transforming our world. It’s already happening and the predictions are everything from every day to the otherworldly. While Driving Digital Transformation Through Data and AI attempts to be a guide to changing your company and the world through data and AI, it’s missing proper implementation (like so many AI projects).

Prepare for repetitiveness. The words ‘data and AI’ are used over 650 times throughout the book and up to 15 times per page. The physiological phenomenon semantic satiation sets in, and the phrase loses meaning to the reader.

Like many current books on AI, this one seems a bit lost. It offers ideas on how it may be applied in the future but few real-life examples. When talking about the integration of AI systems, it’s clear the authors aren’t sure about doing so within real-life organizations. Much of it is just assumption, as with what many “artificial intelligence experts” are offering these days.

The summaries, checklists, and conclusions sections found at the end of each chapter were a waste of space that felt like nothing more than the authors struggling to meet their mandatory page count. If you’ve done a proper job conveying the subject matter throughout a chapter, there should be no need for such. A simple summary will do and move on. Several pages are simply unnecessary.

More Intelligence Required

In the end, there’s just not enough here to bother with. Everything feels artificial but not intelligent. There are so many other books exploring this topic right now and most do a far better job of looking at real-world applications, examples, and providing better insights.

Driving Digital Transformation through Data and AI: A Practical Guide to Delivering Data Science and Machine Learning Products misses the mark when it comes to providing a practical guide or great insight on the application of AI in business. Take a look at one of these other books on artificial intelligence and business instead.

This book would be very helpful if you're going through digital transformation. The best thing is it's a very actionable book with case studies, lists of what you need to pay attention to. Great for leaders.

Thanks a lot to NG and the publisher for this copy.

Digital transformation is a change management process to renew the business model with advanced technologies , sophisticated digital capabilities and the company culture. The focus of this book is in SO and machine learning powered digital transformation strategies. The book covers good examples and case studies for transformation of products, services, employees and culture, gives an overview of case studies and has checklists after each chapter. I'd recommend this book to all execs and specifically CDOs and program managers.

This book is a must read for anyone going through a digital transformation. There are actionable checklists and case studies to help understand all the main points. Mostly targeted towards leaders, but would benefit anyone in the process.

Took off one star due to missing figures and some areas of bad formatting in my eARC. Hopefully the publisher fixed this for the final publication.

Thanks to NetGalley for the eARC in exchange for an honest review.