Live Demo Request: Domino Enterprise MLOps Platform

Schedule a live demo to connect with Domino product experts, and dive into the platform to see why over 20% of the Fortune 100 has chosen Domino to unleash data science. During this live demo you’ll get an overview of the platform including key components:

  • Workbench. Build, run, and compare research using the most popular data science tools
  • Model Ops. Publish and maintain a healthy inventory of deployed models in a variety of formats
  • Domino Model Monitor. Monitor the health of all your data science models from a single portal
  • Knowledge Center. Get insights and maintain governance on all data science research enterprise-wide

Our team will also showcase how Domino delivers data science at scale.

  • Agile Infrastructure

    Agile Infrastructure: Self-serve sandboxes give data science teams power and flexibility while enabling IT to centralize and govern infrastructure.

  • Research Flywheel

    Research Flywheel: Data science teams can find and build on past work, and freely collaborate with their peers to unlock new ideas and breakthrough insights.

  • Research Flywheel

    Model Factory: Domino provides consistent and integrated "closed loop" workflows that increase model velocity across the data science lifecycle.

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Hear from our Customers

"If we hadn't invested in Domino first, I wouldn't have been able to set up a team at all, because you can't hire a high-skilled data scientist without providing them with the state of the art working environment."

Chief Analytics Officer, Insurance

“For our COVID-19 research we needed to work with external academics and hospitals. We brought them into Domino as collaborators and they were able to get up and running very quickly without any issues. We were feeding them our data and they were able to start developing deep learning models to help us predict hotspots and other things. That work went very efficiently because of Domino’s collaboration tools.”

Director of Data Platforms, Pharmaceuticals

“The biggest piece is collaboration. Having multiple people working in the same project and having all your data and code in the same box has been huge. It’s a big way that people share code and insights across their teams, especially data science teams, and that’s been a really nice thing.”

Cloud Analytics Lead, Agriculture

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