In the last decade, we have been transitioning from a datapoor to a data-rich world with the promise of unparalleled intelligence. Such transition will definitely require significant investments in every aspect in our societies including social, political, economic and cultural. Much of the (unprecedented) increase in data generation can be attributed to the abundance of mobile devices and wearables, the increase of instrumentation in every industry vertical, the mass adoption of social networks and the digitization of every aspect of our lives. Generically, the bulk of such data collection falls under the Internet of Things (IoT).1–5 IoT data comes from a variety of sources that can be classified into (a) machine-based (e.g., environmental, weather, air quality, water quality, flows, traffic speeds, people flows and GPS location) or (b) people-based (e.g., social media, crowd sourced data collection, and simple text messaging) providing data and situational observations associated with events.