APIs, IoTs, big data, analytics and cognitive computing

The birth of a sophisticated Internet of Things has catapulted hybrid data collection, which mixes structured and unstructured data, to new heights. The goal with any analytics software is to find and improve better data sets rather than spending time in identifying, prepping, cleaning, and preparing the data.

Not only is predicting and prescribing an action anticipating a future issue desired, but if the action is ignored then a forward thinking automatic adoption should suggest an advanced course correction based on previous action items not acted upon. Predictive analytics algorithms should recalibrate themselves. As the incoming data evolves, so do the algorithms – they must re-fit, re-predict and re-prescribe.

Listen to Andy Thurai of IBM talk about how the time has come for machines and humans to work together to make each other smarter. The combination of APIs, IoTs, big data, smarter analytics, and cognitive computing is transforming the way we see the future — and more importantly, what we do about it.