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.
