Snowflake invests in Domino Data Lab to facilitate deeper integrations
The venture capital arm of the data cloud company Snowflake has invested in the Series F of Enterprise MLOps platform Domino Data Lab. The latter also announced the availability of Snowflake-powered capabilities in Domino 5.2. The investment from Snowflake Ventures will enable both the companies to co-develop deeper Domino-Snowflake product integrations. Through the power of Domino’s platform and Snowpark, the developer framework for Snowflake, the companies can deliver an end-to-end enterprise data science lifecycle solution on one common data and deployment platform. With Domino, data science teams can now easily embed model-driven applications throughout the enterprise – leveraging Snowflake’s Data Cloud. The partnership between Domino and Snowflake accelerates the MLOps lifecycle by automating non-data science tasks, eliminating workarounds caused by inflexible tools and complex processes, and avoiding DevOps tensions between IT and data scientists. “Data science teams make a massive impact by focusing on building breakthrough models, not worrying about data and infrastructure,” said Nick Elprin, CEO and co-founder of Domino Data Lab. “Now, data scientists using Domino have the power of Snowflake’s world-class data platform at their fingertips, making it even faster to build, deploy, and monitor models. We’re proud of the partnership and excited about the future innovation these new integrations will unleash for our customers.” “Domino and Snowflake enable our data science team to connect to person-generated health data (PGHD) seamlessly and prototype rapidly, all within a secure environment,” said Luca Foschini, Chief Data Scientist at Evidation. End-to-End Data Science Model Development, Deployment & Monitoring The partnership strengthens Domino’s position as the most open and flexible Enterprise MLOps platform in the industry due to the capabilities across each stage of the MLOps life cycle. Integrations with Snowpark bridge the gap between data scientists, IT, and the business by allowing direct execution on Snowflake as the common platform: – Accelerated model development with secure access to data in Snowflake’s Data Cloud using OAuth paired with scalable compute via Snowpark libraries – Flexible model deployment using Snowflake for in-database computation — improve prediction response time by deploying models and executing Python scoring code – Streamlined real-time model monitoring in Snowflake Data Cloud Environments with prediction data capture pipelines and monitoring for models deployed to Snowflake to simplify model management by detecting data drift and model quality “We partner with and invest in companies committed to helping customers drive a competitive advantage by mobilising data,” said Christian Kleinerman, Snowflake SVP of Product. “This investment with Domino solidifies our partnership and joint commitment to help our enterprise customers leverage the power of the Data Cloud through the adoption of machine learning models,” he added. The new features will be available this month.
Snowflake participation in Domino’s Series F powers new integrations that bridge the gap between data science, analytics, and IT using Domino’s Enterprise MLOps platform and Snowflake’s Data Cloud
The venture capital arm of the data cloud company Snowflake has invested in the Series F of Enterprise MLOps platform Domino Data Lab.
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["AI", "machine learning", "ML", "data science", "MLOps", "model monitoring", "RAG", "Snowflake", "Python", "R"]
Tasmia is a tech journalist at AIM, looking to bring a fresh perspective to emerging technologies and trends in data science, analytics, and artificial intelligence.