Applying Machine Learning to Real Time Streaming Analytics

The combination of machine learning capabilities with streaming analytics provides really rich capabilities for not only generating predictions but even more importantly to act on the predictions. Machine learning is about letting the software figure things out on its own. For example, the Denstream Clustering algorithm lets you feed in a stream of data and find out *if* there are any related clusters – without having to know ahead of time. More importantly it identifies the outliers for you, or to put it another way – the clustering algorithm figures out groups of "normal" behaviors and flags the "weird" one's for you to react to. Even more importantly it adapts over time by aging out older values and giving more weight to recent events – the algorithm recognizes the "new normal" long before us humans ever could.