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    Platform Component: Knowledge Center

    Reproducible and Reusable Research Infused With Governance and Best Practices

    Domino's Enterprise MLOps platform serves as the centralized system of record for all data science work. It allows data science leaders to define a lifecycle for research projects, and then manage the end-to-end process for deploying data science projects at scale.  

    Find, Reuse, Reproduce, and Collaborate on Work

    Find, Reuse, Reproduce, and Collaborate on Work

    • Automatically track changes to code, data, tools, and packages so work is fully reproducible
    • Maintain an immutable history of ALL data science work to satisfy any regulatory requirements
    • Accelerate innovation and productivity by reducing duplicative work

    Monitor the Health and Status of Data Science Projects and Production Assets

    Monitor the Health and Status of Data Science Projects and Production Assets

    • Assets Portfolio provides visibility into the status of all production assets (e.g., APIs, Apps, etc.)
    • Projects Portfolio brings project management to all data science work across the organization

    Instill Consistent Patterns and Practices

    Instill Consistent Patterns and Practices

    • Set goals for projects and define custom stages for research processes
    • Drill into projects to see recent activity and blockers, and review progress toward goals
    • Integrate with Jira and other enterprise tools to maximize efficiency and shared understanding

    We’ve been able to standardize the data, the know-how, and the ways of collaborating amongst ourselves and with our customers so that they can see the work we’re doing as we do it. Domino accelerates our speed to delivery, providing a much faster and better return on our modeling investment.

    Jacob Grotta Managing Director of Risk and Finance Analytics, Moody’s Analytics

    Unleash data science

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    Domino Data Lab Enterprise MLOps Platform | Customer stories