Reduce silos and create a research flywheel
Data science teams can find and build on past work and freely collaborate with their peers to not only unlock new ideas and breakthrough insights, but share them across business stakeholders through Snowflake, ensuring simultaneous access with the elasticity of Snowflake’s Data Cloud.
Data scientists can write model-derived data back into Snowflake’s Platform for end users to access via reporting and SQL business query tools.
Ensure IT governance and security
Authenticate with Snowflake at the data science project level, allowing each project to have its own independent connection and Snowflake resources or even use multiple Snowflake accounts.
Ensure security and flexibility by leveraging Snowflake authentication for Domino data science projects by storing user Snowflake credentials as environment variables, or utilizing popular tokenization and identify management solutions.
“Snowflake provides the robust scalability, elasticity, and security we need to hold enterprise volumes of health data, while the integration with Domino ensures data scientists can securely and effectively share model output with business stakeholders, clients, and partners.”
― Luca Foschini, Co-founder and Chief Data Scientist at Evidation
Domino and Snowflake are critical to the future of our business. They allow new use cases to keep flowing, so we can empower individuals to manage their health better before they become patients.
Senior Health Data Scientist
Empowering individuals to participate in better health outcomes
Evidation transforms research into production-grade models in as little as eight weeks with Enterprise MLOps.Read Case Study
Tech Talk | Enterprise MLOps in Snowflake's Data Cloud
How to unite data scientists, business experts, and IT teams for putting models into production faster. Optimized data connectors, Snowpark, and enterprise MLOps. Learn from Domino and Snowflake experts, with live Q&A.
Live on April 28th