Making the move from Predictive Modelling to Machine Learning

Making the move from Predictive Modelling to Machine Learning

Everyone is wanting to learn more about how Machine Learning can be used in their business. What’s interesting though is that many companies may already be using Machine Learning to some extent without really realising it. The lines between predictive analytics and Machine Learning are actually quite blurred. Many companies will have built up some Machine Learning capabilities using predictive analytics in some area of their business. So if you use static predictive models in your business, then you are already using Machine Learning, albeit of the static variety.  

The move from Predictive Modelling to Machine Learning can be easier than you think. However, before making that move you need to keep two key considerations in mind to ensure that you benefit from all that machine learning has to offer and that your predictive analytics system remains a trustworthy tool that lifts your business, rather than harming it: Retaining Frequency and the Consequence of Failure.

http://insights.principa.co.za/making-the-move-from-predictive-modelling-to-machine-learning

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Eric Axelrod

President & Chief Architect at DIGR
I have helped companies bring new data driven products to market, drive efficiency out of their supply chain, execute strategic plans, and drive top line and bottom line growth by enabling every business function with actionable analytics. I can transform a business which is lacking critical insight into an agile, strategic, data driven organization.

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