This document is an example RFP for addressing ModelOps (and MLOps) functional requirements. It is the result of interviews with several industry experts and analysts.
ModelOps (and its MLOps subset which focus on ML models only) is a key capability that is required for successful AI/ML model operations once models have been developed. It is a discipline that is separate and apart from model development. Industry experts and analysts are recognizing that model development and model operations are different disciplines, requiring different capabilities, tools and even teams. Gartner, in a recent article, states, “Platform independence: AI pipelines span multiple environments from developer notebooks to edge to data center to cloud deployments. A true ModelOps framework allows you to bring standardization and scalability across these disparate environments so that development, training and deployment processes can run consistently and in a platform-agnostic manner.”
Gartner, “Innovation Insight for ModelOps”, Farhan Choudhary, Shubhangi Vashisth, Arun Chandrasekaran, Erick Brethenoux. 6 August 2020