6 Snowflake Summit 2024 sessions you don’t want to miss
Snowflake Summit 2024 is right around the corner, and this year, we’re back in San Francisco.
For four jam-packed days, from June 3-6, 2024 at the Moscone Center, data folks of all verticals can explore sessions, workshops, hackathons, and more.
But with the conference quickly approaching, sifting through 527 sessions is nearly impossible. How do you decide which ones you can (and can’t) miss?
We're here to help. Here's a sneak peek of the 6 must-attend sessions for Snowflake Summit 2024, so you can build your own Snowflake Summit itinerary before you even check-in.
Sessions:
- AI258: How Data Teams Can Power Customer-Facing AI Products
- AI303: Develop A Predictive Model Using Snowflake and Sigma
- AD226: RAG-Based LLM Application in Snowflake
- DE221: A Streamer’s Journey: A Case Study on CNN’S Transition To Streaming Pipelines
- MD235: Build, Deliver and Govern Data Products at Scale Using Data Mesh Principles
- MD248: Laying the Groundwork for AI: Data Readiness for Data Lakes
For more info on each, read on!
AI258: How Data Teams Can Power Customer-Facing AI Products
Who: Kevin Hu, CEO at Metaplane, and Ian Macomber, Head of Analytics Engineering and Data Science at Ramp
When: Monday, June 3 from 2:00 - 2:20 PM PDT
Where: Basecamp South Theater 2
Why you don’t want to miss it: Ramp is one of the leading spend management platforms. They use AI to make processes smarter right from the start—whether it's managing expenses, speeding up monthly closings, finding the best prices, or helping finance teams work faster. All of that requires managing unstructured, semi-structured, and structured data. And all these different types of data introduce a lot of “unknown unknowns”—issues you don't even know exist—that can cause problems down the line.
With AI products in the mix, the stakes and probability of failure from these issues are higher than ever. So how does Ramp catch them BEFORE they affect their downstream users? Kevin and Ian will cover this (and more) in their session!
AI303: Develop A Predictive Model Using Snowflake and Sigma
Who: Christopher Cardillo, Senior Partner Sales Engineer at Snowflake, and Fran Britschgi, Solutions Architect, AI & Data Science at Sigma
When: Tuesday, Jun 4 from 11:30 AM - 1:00 PM PDT
Where: Hands-on Lab 3303 (Basecamp, North, Hall F)
Why you don’t want to miss it: Want to learn how to forecast trends, optimize your operations, and make smart, data-driven decisions (without getting buried in code)? Snowflake and Sigma will show you how to use predictive models to spot trends in your data and uncover valuable business insights.
And the best part is: You don't need to be an expert to make it happen. This session is all about making ML accessible and efficient for everyone.
AD226: RAG-Based LLM Application in Snowflake
Who: Pascal Bauer, Sales Engineer at Snowflake
When: Tuesday, Jun 4 from 2:30 PM - 2:50 PM PDT
Where: Basecamp North Theater 1
Why you don’t want to miss it: Some of the most meaningful information comes from video and audio data, but that doesn’t make the process of extracting that information any easier. It’s usually time-consuming and, honestly, difficult. Fortunately, there’s an easier way.
In this session, Snowflake will show you how to make videos searchable by transcribing them to create a domain-specific knowledge base. There’s obviously a bit more to it, but you’ll have to catch the live session to see that magic!
DE221: A Streamer’s Journey: A Case Study on CNN’S Transition To Streaming Pipelines
Who: Zachary Lancaster, Engineering Manager at Warner Bros. Discovery, and JT Torrance, Data Engineer at Warner Bros. Discovery
When: Wednesday, Jun 5 from 11:00 AM - 11:45 AM PDT
Where: Room 215 (Moscone South, Level 2)
Why you don’t want to miss it: Believe it or not, a year ago, CNN used to wait hours for actionable data that supports critical parts of its content delivery strategy. Now, they can process it in seconds, all thanks to Snowflake.
How did they do it (and how can you do it, too)? This session will describe each step CNN took to move from an initial idea to optimized data workflows and, ultimately, to a fully implemented solution that drove true business value.
MD235: Build, Deliver and Govern Data Products at Scale Using Data Mesh Principles
Who: Sean McIntyre, Senior Solutions Architect at dbt Labs, and Doug Guthrie, Senior Solutions Architect at dbt Labs
When: Wednesday, Jun 5 from 2:00 PM - 3:30 PM PDT
Where: Hands-on Lab 3303 (Basecamp, North, Hall F)
Why you don’t want to miss it: How does a data mesh benefit data products? In this hands-on lab, the folks from dbt will show you how dbt Cloud leverages Snowflake’s data mesh features for federated, high-quality data. Afterward, you’ll be poised to deliver high-quality data products faster—all while making them discoverable and available to everyone who needs them.
MD248: Laying the Groundwork for AI: Data Readiness for Data Lakes
Who: Brad Moore, Senior Sales Engineer, Enterprise at Fivetran
When: Thursday, Jun 6 from 9:00 AM - 9:20 AM PDT
Where: Basecamp North Theater 2
Why you don’t want to miss it: If you don’t have a data governance strategy, your data isn’t ready for analysis, reporting, or even ingestion—which means it’s certainly not ready for AI.
This session teach you tips to assess your data's current quality and provide actionable steps to transform it from siloed and unstructured to organized and actionable. Come for the data readiness practices, stay for the tips on making the most of your data.
And that's a wrap on the must-see sessions of Snowflake Summit 2024! But don't forget, the Summit is also packed with async networking opportunities. Sprinkle in these sessions with a few parties for a truly unforgettable experience.
For a list of all the happy hours and parties happening, check out our unofficial guide to Snowflake Summit 2024 events. See you there!
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