Category Archives: ai

Innovation in Cybersecurity: Blockchain and Enterprise Immune Systems

There are two basic problems that are affecting cybersecurity right now. While the ability to cause damage and reap financially from cybercrime has become that much easier for interested parties to obtain, the ability to safeguard against it has become that much more difficult...fortunately, there is technology on the horizon that may make up for our human shortfalls.

“Faux Innovation” and Other Discontents

Over the course of this year, I’ve had the good fortune of working with three Global 50 companies – two U.S. based and one European.  I’ll simply refer to them as Company A, B and C.  Despite being in different industries (high-tech, financial services and industrial), one common theme emerged: senior leaders in each of ...

A Dummies Guide for Innovation

Pierre d’Huy and Jérôme Lafon, both innovation teachers and consultants, share all the secrets of Innovation Management in their encyclopedic and brilliant book, A Dummies Guide for Innovation. All aspects of innovation are described in a simple and thrilling way, from innovation history, to innovation process, open innovation, user centric innovation, and a practical step-by-step approach to complete innovation from unfolding the idea down to implementation.

Innovation vs. Ethics: The road to hell is paved with good intentions

  Mary Shelley’s 1818 depiction of Victor Frankenstein and his abomination has become synonymous with the creation of monsters since, both literally and figuratively. Innovations often take on lives of their own, independent of their innovators’ wishes and intentions, and though perhaps created with the best of intentions, the old adage is that “the road ...

Solving Business Problems with Artificial Intelligence

Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems? Here’s what AI learnings your business should keep in mind for 2017.

The Future of Insurance: 15 predictions for 2017

  Editor’s note: This is an excerpt from Matthew Griffin’s upcoming paper The Future of Insurance 2020 & Beyond. It is clear from the developments and progress made in 2016 though that the industry’s appetite, pace, and propensity for change, albeit partially fuelled by an increasingly competitive and dynamic marketplace, is accelerating. It’s unlikely that ...