From sensing issues with turbine engines to identifying non-standard washing machine loads, predictive analytics are a given in the Internet of Things (IoT).
This list looks at the future state of predictive analytics — including challenges — when everything is connected.
1. Bill Schmarzo, author of Big Data: Understanding How Data Powers Big Business, wrote about the difference between the Internet of Things and the Industrial Internet — and contemplated what a supporting solution stack to enable a next generation of applications from these two trends might look like.
2. In GE’s view, predictive analytics are a given part of the Industrial Internet. The same can be said for the Internet of Things, which some would argue is an extension of the Industrial Internet (others would say it’s the same thing). GE hosted a Mind + Machines conference to explore the future state of predictive analytics when everything is connected.
3. SiliconAngle writer Mike Wheatley mused about the challenges posed to IT leaders by Big Data and the Internet of Things and how to tackle them. One suggestion: implementing a specialized data analytics platform with predictive capabilities.
4. IBM’s big data evangelist James Kobielus wrote a thought-provoking blog about how the Internet of Things may disrupt predictive analytics in Big Data clouds (even if you’re not a Big Blue customer). His point: “If nothing else, the sheer combinatorial explosion in IoT interaction patterns is a recipe for chaotic traffic loads.”
5. This 2013 MIT Sloan Management Review blog provided an early peek into a new framework suggested by researchers to regulate the fairness of predictive analytics processes — something to consider when implementing governance processes around the Internet of Things.