Each month, through our partnership with Harvard Business Review, we refresh our resource library with five new HBR articles we believe CIOs and IT leaders will value highly.
9 must-read technology books for 2020
Get a fresh perspective on core and emerging technologies - from AI to analytics - and the related leadership challenges. Put these technology books on your reading list
By Richard Turrin
“This guide pulls no punches. It offers expert analysis of the most typical problems — and their solutions — so that your innovation can transcend the hype and achieve tangible results. Innovation Lab Excellence is a must-read if you manage an innovation lab, work in one, or are a business manager engaged with one.”
Why you should read it: A fintech leader-turned-consultant, Turrin comes out of the IBM innovation lab world. After detailing the evolution of innovation lab from luxury to must-have, he goes through the unique challenges of labs, the best practices that enable labs to deliver business value, and the importance of a human-centric approach to new tech adoption.
You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It’s Making the World a Weirder Place
By Janelle Shane
“Shane delivers the answers to every AI question you’ve ever asked, and some you definitely haven’t. Like, how can a computer design the perfect sandwich? What does robot-generated Harry Potter fan-fiction look like? And is the world’s best Halloween costume really Vampire Hog Bride?”
Why you should read it: Shane spends some quality time with AI, asking machines to do some very human tasks like write the first lines of novels, name a guinea pig, and identify sheep in unusual locations. Hilarity naturally ensues. But Shane also uncovers what she lays out as the five principles of “AI weirdness” and – in so doing – deftly explains what AI it is and what it isn’t; where it works and where it is doomed to fail; and why we should care. That’s earned this book praise from Malcolm Gladwell, Susan Cain, Daniel Pink, and Adam Grant.
By Terrence J. Sejnowski
Why you should read it: The future is … deep learning. This subset of machine learning is where algorithms are built to mimic the structure and function of the brain’s neural networks, for tasks ranging from autonomous driving to virtual assistants. Sejnowski is a deep learning veteran, instrumental in the development of deep learning in the 1980s. He was also an advisory committee member for the Obama administration’s BRAIN initiative and is president of the Neural Information Processing (NIPS) Foundation. “If you want to understand AI,” MIT’s Erik Brynjolfsson says, “you need to read The Deep Learning Revolution.”
By Marco Iansiti and Karim R. Lakhani
“When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear.”
Why you should read it: HBS business professor and co-director of the school’s Laboratory for Information Science at Harvard and of the Digital Initiative, Iansiti goes beyond an exploration of the impact of intelligent systems on businesses, industries, and economies. He offers a framework for rethinking business and operating models in light of AI with a book that is chock full of case studies and research.