MLOps is a set of best-practices applied to the lifecycle of a machine learning model. In this session, we will cover some of the aspects of MLOps, why those are essential, and how you can apply some of them to edge devices.

Who should attend?
If you are working with Machine Learning models with IoT or edge devices, you’ll want to join this session to find out more about how to have solid and reproducible deployments to remote devices.

Please use these resources as reference for this session:
https://github.com/onnx/models/tree/master/text/machine_comprehension/roberta
https://www.oreilly.com/library/view/practical-mlops/9781098103002/
https://aka.ms/MLOpsforIoT - free learn module
https://github.com/alfredodeza/flask-app
https://azure.microsoft.com/en-us/services/iot-hub/

Questions? Reach out to Alfredo on linkedin: ​https://www.linkedin.com/in/alfredodeza/ or Ornella on twitter: @ornelladotcom