I was one of the panelist for the Topic – IoT at the Edge – Sensor and technologies at IoT Expo Conference (http://www.iotindiaexpo.com/)
I talked about how to apply artificial intelligence technologies like machine learning and deep learning on the edge, cloud and hybrid approach.I provided various use cases on how intelligence can be applied at each layer. Running these libraries required hardware optimization on the edge and in future, I see standardizations of runtime and library to run these libraries optimally. In the current scenario, bulk of the training still happens in the cloud and learning models are ported over to the Edge gateway for classification. I see lot of innovations happening in Edge gateway where we move from rules/analytics approach to a solution/domain intelligence gateway. I will post the video link once available.
