Where the Cloud Won't Work: Machine Learning for the Industrial Internet of Things - The New Stack

A quiet race is going on to set up the infrastructure needed for the industrial Internet of Things (IoT). It is generally agreed that the cloud model won't work to manage sensor data in real time, so instead hardware and network providers are rushing to evolve their technologies and sign up industrial customers to pilot and early implementation initiatives in edge processing. Stage one of the race is well underway, with the current focus on enabling edge processing on hardware gateways located in the field (factories, workplaces, cities, farms and buildings). To do that, many are leveraging Dockerized containers (and Moore's Law) to do more powerful data processing. Once this infrastructure has a little more robustness behind it, introducing machine learning (ML) at the edge will spark a second wave of the race.