Archives: May 2017
Good quality data is never a bad thing. For fueling analytic processes, it is a must. In order to maximize return on the investment in machine learning and predictive analytics, companies need clean data as a foundation for analysis. (My use of “green” in the title refers to making money for those outside the US.) Read more
There is a lot of confusion as to what companies can do with IBM Watson. At least Watson is architected so that any system can access it by processing via program calls over the Internet. Programmers need only to communicate input and receive output to make use of Watson-based analytics. Read more
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