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April 2017, Vol. 5, No. 2

IBM's Watson Analytics makes strides but gives off bad vibes

I love analytics. I mean, I really love analytics -- so much so that I'm considering calling analytics the single biggest contribution to information technology. Because of my affection, I'm predisposed to love a new analytics product, find the good in it and trumpet its praises. When it comes to IBM Watson, I love the analytics part. As an analytics platform, Watson Analytics is a serious and very strong contender alongside Google Analytics and Adobe Analytics. However, I'm not crazy about Watson itself. I consider IBM's artificial intelligence (AI) technology a brute force cheat that doesn't advance the ball. At face value, IBM's Watson Analytics has it all -- easy, intuitive UI; flexible handling of columns; integration with Twitter; and outstanding visualization tools. Users can upload data sets of all kinds, explore them, find correlations between columns, tease out predictions and display the results in a number of formats that clarify the findings. Easy! That's my problem. Easy. Far too easy. Methods and madness Don't get...

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