This is a recording of Dan Malowany talking about how SightX uses ClearML as part of the R&D workflow.

This is the original talk's abstract:
"Towards an automated R&D workflow for edge AI systems
The R&D workflow of an AI-based product is inherently characterized by the experimental nature of the deep-tech research process. Adding to the challenges of edge technology - working on various ARM-based SOMs with multiple GPUs and DSP types, the inevitable conclusion is that a bespoke R&D methodology is required.
This talk will discuss our design and successful application of an end-to-end MLOPS methodology. The proposed design enabled us to tackle the management of deep learning research aimed to be deployed on various platforms and to become faster and better with every version release. We recently added a feedback loop to this methodology which gets us a step closer to the holy grail of automated and continuously learning R&D workflow for edge AI."