Evolve from data-driven decisions to model-driven decisions through closer collaboration between data scientists building predictive models, business experts using models to make decisions, and IT teams governing underlying data and analytics infrastructure.
Enable data scientists to leverage data, elasticity, and processing power of Snowflake’s Data Cloud directly within Domino’s Enterprise MLOps Platform.
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