Office Hours: Agentic ML with Snowflake CoCo

​We hear that 60% of your time goes into data prep, not modeling or business problem solving.

​Ask us anything about how to automate the machine learning lifecycle in ​this hands-on “office hours” with Snowflake product managers and ML experts.

​This is your space to go deeper on how to apply context, data-aware agentic ML to expedite your model workflows with CoCo, Snowflake’s AI coding agent.

​Things you could ask:

• ​How does CoCo maintain context across long pipelines?

• ​What infrastructure and tooling does CoCo have access to as I’m building and deploying my models?

• ​What are the ML-optimized skills that are available in CoCo and how do I trigger them?

• ​What latency does Snowflake support for real-time and how does monitoring work in production?

• ​Can I track lineage across the end to end workflow?

​Any question is welcome!

​Your panel of experts:

• ​Karan Sarao, Sr. AI/ML Architect

• ​Ben Fenker Sr. AI/ML Architect

• ​Avinash Joshi, Sr. Product Manager

• ​Hosted by Lucy Zhu, Product Marketing Manager

​As needed, you can join a confidential virtual breakout to walk through your use case 1:1 with Snowflake ML experts.