Document ID: CGR-MOM20 | Last Updated: Mar. 11, 2020
As the markets for AI shift from those organizations that have the technical expertise required to build models from scratch to those enterprises and organizations looking to consume models built by others, the focus shifts from tooling and platforms focused solely on model development to tools and platforms focused on the overall usage, consumption, and management of models. Machine Learning Model Operationalization Management, referred to as “MLOps”, is focused on the lifecycle of model development and usage, machine learning model operationalization, and deployment. In this report, Cognilytica examines the ML Operationalization Management market, provides visibility into emerging best practices in the MLOps space, identifies open source and commercial vendor solutions, and provides a forecast for the growth of the overall market for solutions and products focused in this space.
Key Vendors & Open Source Solutions Included in this Report:
⭑ = Profiled
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