Summary:  Exceptions sometimes make the best rules.  Here’s an example of well accepted variable reduction techniques resulting in an inferior model and a case for dramatically expanding the number of variables we start with.

One of the things that keeps us data scientists on our toes is that the well-established…

Summary:  Advanced analytic platform developers, cloud providers, and the popular press are promoting the idea that everything we do in data science is AI.  That may be good for messaging but it’s misleading to the folks who are asking us for AI solutions and makes our life all the more difficult.

Arrgh!  Houston we have…

Summary:  Deep changes are underway in how data science is practiced and successfully deployed to solve business problems and create strategic advantage.  These same changes point to major changes in how data scientists will do their work.  Here’s why and how.

There’s a sea change underway in data science.  It’s changing how…

Summary:  Where do we look to see the most advanced chatbots and the most complete application of AI?  Chatbots designed as ‘artificially intelligent psychological counseling chatbots’, ‘therapeutic assistants’ for short.

Perhaps a better title for this would be “how far have we come?”  About two months ago…

Summary:  Digital Twins is a concept based in IoT but requiring the skills of machine learning and potentially AI.  It’s not completely new but it is integral to Gartner’s vision of the digital enterprise and makes the Hype Cycle for 2017.  It’s a major enabler of event processing as opposed to traditional request processing.

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