Table of Contents
- Summary
- Key Criteria Comparison
- GigaOm Radar
- Vendor Insights
- Analyst’s Take
- Methodology
- About Andrew Brust
- About GigaOm
- Copyright
1. Summary
If you want to operationalize your growing machine learning efforts, MLOps is a must. We review the MLOps sector and the offerings of 14 vendors that aim to help customers automate, govern, and monitor AI experiments, deployments, performance, and accuracy. We also look at technologies like feature stores that are in their early days now but which we see as making big gains in ubiquity in the future.