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Gartner Research
Use Gartner’s 3-Stage MLOps Framework to Successfully Operationalize Machine Learning Projects
Summary
Organizations struggle to integrate AI solutions with existing production applications, wasting time and money on data science projects that are never put in production. Data and analytics leaders can greatly reduce the risk of such failures with three stages that create a framework for MLOps.
Published: 02 July 2020
ID: G00725627
Analyst(s): Shubhangi Vashisth , Erick Brethenoux , Farhan Choudhary , Jim Hare
Table Of Contents
Overview
Strategic Planning Assumption
Introduction
Analysis
Gartner Recommended Reading
Note 1: Analytical Assets
Note 2: ModelOps
Note 3: Model Evaluation Techniques
Note 4: Multiarmed Bandits
Note 5: Gartner’s Definition of Governance
Note 6: Operationalization at Scale
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