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ParallelM MLOps
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ParallelM MLOps Reviews & Product Details

ParallelM MLOps Overview

What is ParallelM MLOps?

ParallelM's MCenter helps Data Scientists deploy, manage and govern ML models in production. Just import your existing model from your favorite notebook and then create data connections or a REST endpoint for model serving with the drag-and-drop pipeline builder. Advanced monitoring automatically creates alerts when models are not operating as expected due to changing data. With built-in model governance, every action is controlled and tracked including model versioning and who can promote models into production to ensure compliance with regulations.

ParallelM MLOps Details
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Product Description

ParallelM's MCenter helps Data Scientists deploy, manage and govern ML models in production. Just import your existing model from your favorite notebook and then create data connections or a REST endpoint for model serving with the drag-and-drop pipeline builder. Advanced monitoring automatically creates alerts when models are not operating as expected due to changing data. With built-in model governance, every action is controlled and tracked including model versioning and who can promote models into production to ensure compliance with regulations.


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ParallelM

Description

ParallelM was a company focused on operationalizing machine learning and data science, specializing in MLOps (Machine Learning Operations). Their platform facilitated the deployment, management, and governance of machine learning models in production environments. ParallelM aimed to bridge the gap between data science and IT operations, ensuring that machine learning projects are efficiently and effectively integrated into business processes. The company was acquired by DataRobot in 2019, enhancing DataRobot's capabilities in model management and deployment.

Recent ParallelM MLOps Reviews

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Verified UserEnterprise (> 1000 emp.)
3.0 out of 5
"ML operations Deployment made easy"
Support many platforms Automated Well optimized

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1 ParallelM MLOps Reviews

3.0 out of 5
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1 ParallelM MLOps Reviews
3.0 out of 5
1 ParallelM MLOps Reviews
3.0 out of 5
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What do you like best about ParallelM MLOps?

Support many platforms

Automated

Well optimized Review collected by and hosted on G2.com.

What do you dislike about ParallelM MLOps?

Need to support private cloud

Required human interaction for deployment Review collected by and hosted on G2.com.

What problems is ParallelM MLOps solving and how is that benefiting you?

It helps and easy-to-use for deploying our ML solutions. Review collected by and hosted on G2.com.

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