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Accelerate ML Insights with Scalable GPUs in Snowflake

January 8

Learn why ML developers are turning to Snowflake ML to simplify infrastructure, handle package management challenges, and deploy resource-intensive training workflows with GPUs – all without moving data or limitations on code or libraries they can use.

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Shred Snowflake: Dynamic Tables

January 21

Dive into a detailed look at Snowflake’s Dynamic Tables with one of Snowflake's in-house instructors. You'll learn how they can enable automated data transformations and simplify the creation of up-to-date views for your workflows.

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AI DECISIONING IN ACTION: WHOOP'S JOURNEY TO HYPER-PERSONALIZED CUSTOMER EXPERIENCES

January 28

Discover how the marketing team at WHOOP, a leader in health tech, uses Hightouch and Snowflake to maximize customer lifetime value through AI-powered personalization.

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Other than statements of historical fact, all information contained in the presentations and accompanying oral commentary made available as part of these webinars (collectively, the “Materials”), including statements regarding (i) Snowflake’s business strategy and plans, (ii) new and enhanced products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, and (iv) the integration, interoperability, and availability of Snowflake’s products, services and technology offerings with and on third-party platforms, are forward-looking statements. These forward-looking statements are subject to a number of risks, uncertainties, and assumptions, including those described under the heading “Risk Factors” and elsewhere in the periodic reports on Form 10-Q and Form 10-K that Snowflake has filed and will file with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, the future events and trends discussed in the Materials may not occur, and actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forwarding-looking statements as predictions of future events.

Snowflake Webinars

Accelerate ML Insights with Scalable GPUs in Snowflake

Shred Snowflake: Dynamic Tables

AI DECISIONING IN ACTION: WHOOP'S JOURNEY TO HYPER-PERSONALIZED CUSTOMER EXPERIENCES

Snowflake on Snowflake Webinars

Virtual Hands-On Labs

Snowflake Live Demo

Explore Snowflake Webinars

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Snowflake on Snowflake: Reducing Risk With User Access Review Automation

Delivering Personalization at Scale with Simon Data and Snowflake

Live Demo: Creating Data-as-a-service with Snowflake and KNIME

3 Ways to Build Resilience in Your Supply Chain with Data

Dashboards vs Liveboards: How TotallyMoney Use Live Analytics to Run Their Business

How MessageGears and Snowflake Deliver on the Most Impactful Campaigns for Marketers

How Snowflake Helps Drive Personalized Campaigns by Unlocking the Power of Customer Data Demo Series

Startup Series Founders Panel: The Fast Growing Data App Startups Built on Snowflake

Bringing Cloud Analytics to the Supply Chain

6 Top Trends in Data Engineering for 2023

The Modern Data Stack for Advertising, Media and Entertainment

AWS DEV DAY: Data-centric Approach to Machine Learning Using Snowflake and Amazon SageMaker Data Wrangler

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