In this chapter, we studied the disruptions in IoT. We studied how the growth of IoT has emerged innovations in different fields and how other fields have leveraged IoT directly or indirectly to trigger disruptions in the market. We explored the fog or edge computing model and saw how the IoT infrastructure can be scaled efficiently while still keeping it a viable solution. To study the fog computing model in detail, we explored a hypothetical use case similar to the manufacturing use case studied in earlier. We saw how connected devices or assets can be designed to become state-of-the-art smart devices where intelligence is pushed to the logical extremes of the network, promoting quick and intelligent self-decisions to improve an outcome.

We explored cognitive computing, a fairly new but very promising and interesting area emerged from the convergence of artificial intelligence, IoT, and edge computing. We saw how machines can be designed to learn on their own and solve a human-like...