How to Accelerate Data Science with Snowflake

September 13, 2021

Data science and machine learning (ML) create a competitive advantage for companies. But to be successful, organizations need to obtain more varied data than ever before and quickly provide it to their data scientists. Ingesting, processing, and cleansing data rapidly can be challenging. And integrating that data with the latest ML tools, frameworks, and libraries is critical.

With Snowflake, data scientists have more time to explore new models and try new ML tools through Snowflake’s extensive partner ecosystem. Join this webinar to find out how Snowflake provides a centralised source of high performance data to a robust ecosystem of data science partners to help data scientists be faster and more efficient.

Previous Video
How to use Snowflake Native Connectors for Machine Learning
How to use Snowflake Native Connectors for Machine Learning

Next Video
From Data Clean Rooms to Data Marketplaces: How to Securely Collaborate Across Your Business Ecosystem
From Data Clean Rooms to Data Marketplaces: How to Securely Collaborate Across Your Business Ecosystem

Whether marketers are looking for new ways to develop customer 360s that don’t rely on third-party cookies ...