OpenIoT & ELC 2016

This session is about the data and intelligence. About edge computing a.k.a. fog computing.
Data means nothing if not massaged into meaningful models making it tangible, hence analytics. Analytics have to be made ASAP, at the edge (using patterns for predictions, validation) in situations where time, privacy or communication is of concern. If not done correctly data will flood the cloud, clogging it with data of no use.
We will look at three real cases: Manufacturing (pulp), Healthcare and Logistics (cargo ship). They all have different needs, constraints and bottlenecks to tackle, all boiling down to standards, be it in communication from devices, security/ privacy or storage.