Big data, machine learning and the future.
1. Forbes: 3 Levers To Success in Predictive Analytics
In 15 years of experience, I have seen countless predictive models—but very few useful ones. Most take too long to build, and then sit unused on the shelf. The model becomes a memory, and a bad one at that. Behind the scenes, countless hours were spent figuring out what to model, getting agreement on definitions and parameters, building the model, optimizing it and preparing for the presentation to senior management. Then “boom”: something goes amiss, all the effort goes down the drain, and yet another model meets its arch nemesis—the shelf. Worse, the analytics group’s reputation suffers for “not producing anything”.
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