Data is the fuel that drives machine learning and predictive analytics, and these apps are only as good as the data that goes into them.
So, you almost can’t have enough data points when designing and operating cognitive solutions — although there are people who may disagree with me.Some experts believe that data scientists should just focus in on a certain set of data and that collecting too much data could waste precious time rolling out new solutions and maybe even be counterproductive.But, there’s a good reason to collect as many data points as possible, because today’s smart apps need vast amounts to create predictive algorithms that work — and ultimately make them even smarter.To read this article in full or to leave a comment, please click here

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