Platform Component: <b>Workbench</b>

Platform Component: Workbench

Accelerate Collaborative Research and Development

Domino gives data scientists the flexibility and power they need to accelerate research and make breakthroughs that deliver real business impact. They can use the tools they want, on hardware optimized for the task at hand, in a governed and scalable environment that fosters reproducibility, reusability, and collaboration.

Use the Tools and Environments You Want with Self-Serve Access to Scalable Compute

Spin up Jupyter, RStudio, Zeppelin, SAS Studio, and Other Interactive Workspaces with Just a Few Clicks

Add and Update Libraries, Tools, and Algorithm Packages to Support Rapid Innovation

Link to Git-Based Repositories to Quickly Integrate Existing Code

Get Visibility into Tool Usage From a Centrally-Managed and Governed Environment

Data Science Workbench
Data Science Workbench
Data Science Workbench
Data Science Workbench

Run Computationally Intensive Experiments Simultaneously

Elastically Scale Compute Resources Including CPU, GPU, and Spark Clusters, On-Demand without DevOps

Run Hundreds of Experiments in Parallel, and Easily Compare the Results

Iterate and Collaborate on Projects to Expedite Research Breakthroughs

Data Science Workspace
Data Science Workspace
Data Science Workspace

Automatically Track All Work and Progress Over Time

Easily Find and Reproduce Past Results, with Tracked Code, Data, Tools, Packages, and Compute Environments

No More Concerns Over Inconsistent Versions and Changes to the Underlying Data

Link your Domino Project to a Jira Ticket, and Synchronize Project Status

Gain the Freedom to Collaborate, While Establishing Powerful Governance Capabilities

Data Science Governance
Data Science Governance
Data Science Governance
Data Science Governance
Lockheed Martin

We’re streamlining the development and deployment of deep learning models to mitigate supply chain risk, analyze manufacturing defects, predict maintenance needs, and more. Domino makes it easy for our data scientists to rapidly access NVIDIA GPUs so we can support complex use cases like training deep neural networks.

Mike Johnson

Mike Johnson

Lead Data Scientist

Lockheed Martin

Related Data Science Resources

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Seeking Reproducibility within Social Science: Search and Discovery

The Machine Learning Reproducibility Crisis
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The Machine Learning Reproducibility Crisis

Data Science Collaboration to Scale Teams and Accelerate Model Delivery
WHITE PAPER

Data Science Collaboration to Scale Teams and Accelerate Model Delivery

Make Your Business Model-Driven

Have a question? Feel free to contact us.

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