- Well Structured
While the rating tells you how good a book is according to our two core criteria, it says nothing about its particular defining features. Therefore, we use a set of 20 qualities to characterize each book by its strengths:
Applicable – You’ll get advice that can be directly applied in the workplace or in everyday situations.
Analytical – You’ll understand the inner workings of the subject matter.
Background – You’ll get contextual knowledge as a frame for informed action or analysis.
Bold – You’ll find arguments that may break with predominant views.
Comprehensive – You’ll find every aspect of the subject matter covered.
Concrete Examples – You’ll get practical advice illustrated with examples of real-world applications or anecdotes.
Controversial – You’ll be confronted with strongly debated opinions.
Eloquent – You’ll enjoy a masterfully written or presented text.
Engaging – You’ll read or watch this all the way through the end.
Eye opening – You’ll be offered highly surprising insights.
For beginners – You’ll find this to be a good primer if you’re a learner with little or no prior experience/knowledge.
For experts – You’ll get the higher-level knowledge/instructions you need as an expert.
Hot Topic – You’ll find yourself in the middle of a highly debated issue.
Innovative – You can expect some truly fresh ideas and insights on brand-new products or trends.
Insider’s take – You’ll have the privilege of learning from someone who knows her or his topic inside-out.
Inspiring – You’ll want to put into practice what you’ve read immediately.
Overview – You’ll get a broad treatment of the subject matter, mentioning all its major aspects.
Scientific – You’ll get facts and figures grounded in scientific research.
Visionary – You’ll get a glimpse of the future and what it might mean for you.
Well structured – You’ll find this to be particularly well organized to support its reception or application.
Artificial intelligence (AI) isn’t speculation anymore. Babson College professor Thomas H. Davenport – author of Only Humans Need Apply: Winners and Losers in the Age of Smart Machines – offers a wide array of examples of current and future AI implementation. In his informed, articulate view, any company that isn’t already applying AI has fallen behind. Davenport considers what it means to become a “cognitive corporation,” why your firm must develop a “cognitive strategy,” how it can apply AI and how AI will alter the workplace. He also explores the myriad technical, social and ethical challenges that AI raises, for example, the failures in Facebook’s algorithm that unintentionally enabled hate speech. Anyone interested in AI strategy, implementing AI and how AI will shape the future of employment will benefit from Davenport’s expertise.
About the Author
Thomas H. Davenport, PhD, is the President’s Distinguished Professor of Information Technology and Management at Babson College, the co-founder of the International Institute for Analytics, and author of Only Humans Need Apply: Winners and Losers in the Age of Smart Machines.