TrustRadius: an HG Insights company

MLReef

Score9.1 out of 10

1 Reviews and Ratings

What is MLReef?

MLReef is a Machine Learning development platform that aims to democratize ML innovation across the entire organization.

Distributed ML Development:
- up to 5X in ML development throughput
- up to 85% less dependency on internal data science capacity
- Distributed workload on complex data tasks with seamless involvable domain experts
- Higher acceptance of deploye models ad development is a joint task

Q: What is Distributed ML Development?
Distributed Machine Learning development is the process by which the value-added chain is structurally distributed to different actors across the organization to drive efficiency, transparency, quality and to democratize the knowledge and capacity to create Machine Learning.


Media

Screenshot of ML Pipeline creation - from fully flexible git repositories to addressable, explorable and easy accessible drag-and-drop elements
Screenshot of A knowledgebase for your organization: ML Projects and AI Modules (scripts)
Screenshot of Full version control and transparent experiment tracking
Screenshot of Repositories to manage your scripts (SCM) and data (pipelines)
Screenshot of Manage your team, groups and projects with access rights and granular permissions

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Screenshot of ML Pipeline creation - from fully flexible git repositories to addressable, explorable and easy accessible drag-and-drop elements

Distributed ML Ops

Use Cases and Deployment Scope

Distributed Machine Learning Operations is very important for delivering Machine Learning Projects to our customers.

Pros

  • Helps us to take on more client projects
  • Can be used by data analysts as well as casual users

Cons

  • Out of the box support for major cloud vendors

Most Important Features

  • Allowing distributed learning
  • Easy to learn

Return on Investment

  • We can handle 4 to 6 times more projects at the same time with our team
  • We stay engaged with our customers well beyond the project duration

Other Software Used

Jira Software, GitLab