By serving as a central hub for data science, Domino addresses a variety of common challenges that arise when building data science teams and integrating them into the business.
Enable Self-service Data Science
Unleash data scientist productivity and free up IT to focus on strategic problems.
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Leverage Open Data Science
Get the agility of open source with the safety of managed environments.
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Data Science in the Cloud
Front-end to the cloud, automate elastic compute while letting IT monitor and control resource usage.
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Manage Model Risk
Track and document model development and usage to innovate with lower risk.
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No matter what industry you’re in, Domino can help
pie_chartFinancial Services
Build and deploy innovative solutions to price risk, target customers, and value assets without sacrificing security, documentation and validation.
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Insurance
Improve pricing, claims, reserves, and marketing models while also supporting expansion into machine vision with GPUs and IoT data insights.
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dnsTechnology
Leverage data for product analytics, customer churn prediction, and lead scoring while letting the engineering team focus on customers, not internal tooling.
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Getting Started
Magic Quadrant for Data Science Platforms
Many organizations are underwhelmed by the return on their data science investment. The Data Science Maturity Model was developed to help data scientist….
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The Data Science Maturity Model
A framework developed by Domino for data science teams to benchmark themselves and guide investments across people, process, and technology.
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Data Science Platform: What is it? Why is it Important?
As more companies recognize the need for a data science platform. We want to share our vision for the core capabilities a platform should have in order for it to be valuable to data science teams.