DevOps for ML systems

Implementing AI solutions in an organisation requires different ways of doing IT, security and operations. By considering the whole development cycle, including research phases, continuous training and testing of models, data provenance or elastic resource allocation among many other concerns we strive to define best practices in the field.

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