ParallelM offers MLOps, a platform for managing the lifecycle of machine learning (ML) in production.
- ParallelM offers patented technology for turning ML models into complete ML applications, with composites of models in unique combinations.
Features and Benefits
- Assess how MLOps uses ML Health monitoring capabilities, indicating the quality of ML application outcomes in near real time.
- Learn about MLOps production model governance with audit trails, compliance support, and reproducibility for ML.
Key questions answered
- Which AI platforms does MLOps support?
- Why are DevOps continuous delivery tools not the best way to deploy ML applications into production?
Table of contents
Recommendations for enterprises
Why put ParallelM’s MLOps on your radar?