Today Internet of Things is everywhere - on all buildings, streets, flights, people and on all parcels being shipped. And sensing today's world is only possible by collecting and analyzing the immense data produced by the IoT devices in real-time, batch, interactive and a predictive manner. The nature of these devices, their mobility, and the large scale deployment have made IoT data more detailed, fuzzy, and large. Hence the use cases of IoT differ significantly from the current ‘big data’ analytics paradigm. Though IoT analytics can be build on top of big data, yet the work would be far from being done.
This session will propose solutions for the challenges that exist in IoT analytics such as collecting meaningful data from distributed data sources, edge analytics, handling uncertainty, out of order event processing, time series analysis, scalable tracking and monitoring devices overtime, and discuss how data of all things can be used to understand the world around us while being proactive on the imaging opportunities and threats.