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.

Self Serve Data Science

Enable Self-service Data Science

Unleash data scientist productivity and free up IT to focus on strategic problems.

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Open Data Science

Leverage Open Data Science

Get the agility of open source with the safety of managed environments.

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Cloud Science

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

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

Gardner Magic Quadrant

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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DSMM

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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Blog

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.

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Domino Data Science Platform

For more info, please Contact Us.