Chaos and Pain in Machine Learning, and the ‘DevOps for ML Manifesto’
Tuesday, October 1
1:30 pm
1:55 pm
Robertson 2

Most AI/ML projects start shipping models into production, where they can deliver business value, using the no-process process. That is, people just do their best by creating an ad-hoc process with familiar tools. This works for tiny teams at first, but as the team grows you'll discover significant chaos and pain trying to operationalize AI.


Nick Ball

Data Scientist
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