Join us for this behind-the-scenes look at how Snowflake’s Global Alliances team uses machine learning to scale the Snowflake partner program.
Snowflake Partner Network includes thousands of partners globally. A core component of this program are partner-submitted customer references—which demonstrate the joint value of the partnership and are leveraged by the Snowflake partner, marketing, and sales organization.
Without an automated method, reviewing customer references is a highly manual and time-consuming process.
Snowflake’s partner and IT teams joined forces to create a machine learning algorithm to automatically predict the quality of partner-submitted customer references.
In this session, leaders of Snowflake’s partner and IT teams will dive into how:
- Snowflake uses Snowpark to develop a machine learning algorithm to automatically score partner-submitted customer references
- The Data Cloud can help enhance your partner experience
Speakers
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Philip Larson
Sr. Director, Partner Program, Snowflake
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Kristen Werner
Director, Data Science & Engineering, Snowflake
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Emily Dillon
Product Marketing Manager, Snowflake