In many business scenarios it is no longer desirable to wait hours, days or weeks for the results of analytic processes. Psychologically, people expect real-time or near ...
Summary: McKinsey says platform companies will represent 30% of global business revenue by next year (2020). In Part 1 of this article we started to lay out some impo...
Describing the Data Science analytics development process has always been a struggle for me. The corporate world is full of linear processes. Major monolithic enterpr...
Guest blog by Stephan Loyd. Hello everybody, this is my first post here, so forgive me if I screw it up. Let me firstly introduce background of my work. Several years ago...
Summary: A little history lesson about all the different names by which the field of data science has been called, and why, whatever you call it, it’s all the same th...
Where will blockchain go in the coming new year 2020? We’re on the edge of 2019. Isn’t this a great time to make predictions about blockchain – a revolutionary tech...
About a year ago, a young neighbor who’s enrolled in an MS is Data Science program asked my help on an R coding exercise. The challenge was to compute several new c...
I continue to be infatuated with the potential of autonomous entities that self-monitor, self-diagnose, self-fix and self-learn without human intervention. The vision o...
As a long-time part of this industry, I have spent a good part of the last decade talking about the digital transformation. Call it the digital transformation or the data...