What is revolutionizing Machine Learning for the Enterprise? - Dataconomy

As happens when boundless potential meets hard reality, enterprises now face a long, painful slog through the trenches of disillusionment and disappointment as they pursue the business transformation promised by Machine Learning for the Enterprise. The machine learning hype cycle is in overdrive, inflating expectations for magically easy and automated solutions to complex business problems decades in the making. Machine Learning learns from, of course, data, with algorithms continually improving themselves. But typical enterprise data is siloed and dirty, noisy and disparate – the natural byproduct of decades of idiosyncratic business process automation initiatives and M&A activity. So when those machines try to learn from stinky, messy data, how smart do you really think they'll get?