Saeed Barghi takes us through building an interesting solution:
A few weeks ago I did a talk at AI Bootcamp here in Melbourne on how we can build a serverless solution on Azure that would take us one step closer to powering industrial machines with AI, using the same technology stack that is typically used to deliver IoT analytics use cases. I demoed a solution that received data from an IoT device, in this case a crane, compared the data with the result of a machine learning model that has ran and written its predictions to a repository, in this case a CSV file, and then decided if any actions needs to be taken on the machine, e.g. slowing the crane down if the wind picks up.
This was a really interesting article.