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    Maximize your model velocity

    The key to driving transformative business impact lies in your ability to traverse the end-to-end model development and deployment process rapidly, repeatedly, and consistently.

    How quickly and effectively you can do this is a measure of your Model Velocity, and how it changes over time helps you track your progress toward becoming a model-driven business.

    Take this free 10-minute assessment to understand your risks and get actionable recommendations across the four stages of the data science lifecycle.

    Groundbreaking new capabilities to maximize model velocity

    Domino 5 blog series

    Dive deeper into the powerful innovations and unique benefits of Enterprise MLOps and Domino 5 from some of the people who helped create it.

    Overview
    Domino 5.0: Unleashing Model Velocity
    Read the blog
    NVIDIA AI Enterprise
    Data Center-Ready MLOps: Domino now validated for NVIDIA AI Enterprise
    Read the blog
    Integrated Monitoring
    Rapidly update production models for optimal performance
    Read the blog
    Automated Insights
    Accelerate the root cause analysis of model drift
    Read the blog
    Data Sources
    Share and reuse trusted data sources to drive model quality
    Read the blog
    Autoscaling Clusters
    Develop better models faster with auto-scaled distributed compute
    Read the blog
    Git-based Projects
    Easily leverage Git repositories to increase model velocity
    Read the blog
    Durable Workspaces
    Up-level your ‘laptop-in-the-cloud’ experience for the best of both worlds
    Read the blog
    Secret Store
    Securely store credentials to support the toughest compliance requirements
    Read the blog
    Overview
    Domino 5.1 Simplifies Access to Data Sources to Improve Model Velocity
    Read the blog

    Other Domino 5 resources

    Tech Brief
    On-Demand Distributed Compute

    Learn how Domino provides self-serve access to the most popular distributed compute frameworks – Spark, Ray, and Dask.

    Tech Brief
    Integrated Model Monitoring

    Create a seamless experience for model development to deployment to monitoring to ensure peak performance of production models.

    Customers and analysts love the impact on model velocity

    We’ve implemented a multi-cloud strategy along with Domino’s Enterprise MLOps platform to increase our model velocity so we can address customer needs in a quarter of the time it used to take us.

    Antoine Ly
    Head of Data Science, SCOR

    Best Practices

    Governing data science by example instead of edict

    See how the world’s fourth-largest reinsurer has taken a model-driven approach to help clients control and manage risk — natural risks, climate risks, health risks, geopolitical risks, cyber risks, and many others.

    Read their story

    Through our best practices and use of Domino’s Enterprise MLOps platform we’ve been able to accelerate model deployment by as much as six times. This increase in model velocity significantly improves our ability to get information into the hands of our clients faster and solve their challenges in ways that would previously have been impossible.

    Jacob Grotta
    General Manager of Banking Operating Unit, Moody's Analytics

    Case Study

    Driving Customer Value and Efficiency by Transforming Model Development and Deployment

    A more than 50% reduction in the time to move models into production enables Moody’s Analytics to get information into the hands of clients faster.

    Read their story

    Domino 5.0 is all about...addressing model velocity so enterprises can essentially get more models into production running successfully in a repeatable and scalable way, and in so doing, run their business on them.

    Krishna Roy
    Senior Research Analyst, Data Science & Analytics, 451 Research

    Market Insight Report

    Domino Data gives its enterprise data science platform a makeover with model velocity in mind

    Read the report

    Nothing is more expensive for an enterprise than an AI model that’s sitting and waiting for deployment, delaying its benefits for enterprise acceleration. It’s good to see vendors like Domino Data Lab helping enterprises to increase model velocity.

    Holger Mueller
    Vice President and Principal Analyst, Constellation Research

    Article

    Domino Data Lab’s newest release promises to accelerate AI model development

    Read the article

    Learn more about Domino 5

    See why over 20% of the Fortune 100 trust the Domino Enterprise MLOps platform for their mission-critical data science work.