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.
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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.
Domino 5.0: Unleashing Model Velocity
NVIDIA AI Enterprise
Data Center-Ready MLOps: Domino now validated for NVIDIA AI Enterprise
Rapidly update production models for optimal performance
Accelerate the root cause analysis of model drift
Share and reuse trusted data sources to drive model quality
Develop better models faster with auto-scaled distributed compute
Easily leverage Git repositories to increase model velocity
Up-level your ‘laptop-in-the-cloud’ experience for the best of both worlds
Securely store credentials to support the toughest compliance requirements
Domino 5.1 Simplifies Access to Data Sources to Improve Model Velocity
Deep integration with Snowflake furthers our position as the most open and flexible Enterprise MLOps platform in the industry
Other Domino 5 resources
The Complete Guide to Enterprise MLOps Principles
Learn about the underlying technologies and guiding principles to scale production models across the enterprise.
On-Demand Distributed Compute
Learn how Domino provides self-serve access to the most popular distributed compute frameworks – Spark, Ray, and Dask.
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.
Head of Data Science, SCOR
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.
General Manager of Banking Operating Unit, Moody's Analytics
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.
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 mindRead 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.
Vice President and Principal Analyst, Constellation Research