• Start Time:
  • End Time:
  • Day:
    Day 1


  • Preparing the data, cleaning the model, and then deploying the model – data scientists and machine learning engineers end up using 60-80% of their time on tasks that have to do with the incidental complexity involved in bringing a machine learning model to production.
  • We will go through the lifecycle of building a model and the problems we identified and how we decreased the time it takes to deploy a model in production from weeks to less than a day.

Associated Speakers:

Azeem Ahmed

Director of Data Platform Engineering


Associated Talks:

02:00PM - Day 1

View Accelerating the machine learning workflow

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