skip to main content

Introduction

ParallelM offers MLOps, a platform for managing the lifecycle of machine learning (ML) in production.

Highlights

  • 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

Summary

  • Catalyst
  • Key messages
  • Ovum view

Recommendations for enterprises

  • Why put ParallelM’s MLOps on your radar?

Highlights

  • Background
  • Current position

Data sheet

  • Key facts

Appendix

  • On the Radar
  • Authors