Solutions for Data Science at Enterprise Scale

Domino Helps Enterprises Unleash the Power of Data Science to Address the World’s Most Important Challenges

Data Science by Industry

Financial Services

Build and deploy innovative solutions to predict risk, inform investment strategies, personalize customer experiences, and value assets without sacrificing security, documentation or validation.

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Insurance

Improve pricing, claims, reserves, and marketing models while also supporting expansion into machine vision with GPUs and IoT-enabled insights.

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Media & Technology

Build models for product analytics, customer churn prevention, lead scoring and more while letting Engineering focus on building better product instead of internal tooling.

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Health & Life Sciences

Accelerate your digital transformation efforts with an easy path to the cloud, while automating research best practices and streamlining documentation for FDA approvals.

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Manufacturing

Gain deeper insights into quality, predictive maintenance, and supply chain operations, while improving collaboration with non-technical stakeholders and accelerating research.

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Retail, eCommerce & Consumer Products

Accelerate model development for recommendation systems, omni-channel customer personalization, lifetime value analysis, market segmentation, supply chain systems, and more.

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Data Science by Role

Data Science Leaders

Make a tangible impact on the business. Onboard new data scientists quickly. Eliminate bottlenecks, foster cross-team collaboration and create a knowledge flywheel. Tighten feedback loops with business stakeholders. Deploy and monitor models at scale.

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IT Leaders

Support Data Science without sacrificing governance or security. Future-proof your data science stack with an easy path to the cloud. Gain transparency with complete model reproducibility. Offer a centralized platform for collaboration. Reduce model ops friction for rapid model delivery and iteration.

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Data Scientists

Experiment faster and deliver more breakthroughs. Remove DevOps pain with independent access to compute. Use the right tool(s) for the right job. Share and repurpose work across the team. More easily get models from development into production.

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Unleash data science

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