Artificial Intelligence, Machine Learning and Cognitive Computing are trending buzzwords of our time. I read about them every day in different media, but as a regular customer it is rare that I get a “wow experience” as a result of new technologies. Where are the actual implementations? I have decided to investigate this subject over the next couple of months with the aim of uncovering what new technology can do for the customer experience through specific examples. New technology opens up new opportunities, but in the very end it’s all about providing a better customer experience. In a digital world, where everything related to product and price is completely transparent, and where the distance between store and customer is shorter than ever, the 4Ps are dying. Instead, we are now talking about the 4Cs: Consistency, Content, Convenience and Contextual – with focus on the customer experience (learn more about the 4Cs here). In this article, I will…

Healthcare is at a two-tined fork: One strip leads to repeating the same mistakes others have already made while the more enlightened rail learns from those instead. That avenue is not a foregone conclusion. Hospitals' development and implementation of emerging technologies under the artificial intelligence, cognitive computing and machine learning rubric is nascent enough that there's time to choose which tine to take. Taking the well-trodden path will neither be easy nor exactly inexpensive, so why pick it? There's a lot to be gained -- and piles of money to be saved -- by learning from those who have gone before.

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When people discuss the workplace of the future, they frequently focus on the collaboration technologies and the layout of these new workspaces. We discuss the "intolerance" of millennials and how work tools must change to support the digital native. While the selection of tools is important, this dialogue lacks a discussion of the type of jobs employees will perform and how they'll be trained to do these jobs. We're entering the next generation of the industrial revolution and today's workforce is largely unprepared to fill the next wave of jobs. Many careers in the future will be based on software programing, machine learning and data analysis using tools that barely existed ten year ago.