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
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.
Register NowShred 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.
Register NowAI 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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Explore the SeriesVirtual Hands-On Labs
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On-Demand
How Braze Architects Their Customer Engagement Platform on Snowflake
Martech Powered By Snowflake Series – Braze
On-Demand
Show Me Your Architecture Top Machine Learning Architectures in Snowflake
Join us January 30 for a deep dive of Snowflake’s top customer…
On-Demand
Identifying Top Data Architecture Patterns for Analytics
Learn more about common architecture patterns for processing, storing, and analyzing large volumes and variety…
On-Demand
Snowpark Day Where Python Developers Can Learn The Latest Innovations for AI/ML Workflows in Snowflake
Join us for Snowpark Day, where…
On-Demand
Intro to Data Engineering with Snowpark for Python
Join this virtual hands-on lab February 7 to learn the first steps of data…
On-Demand
Using Spatial Data Science for Catastrophe Analytics
Location Intelligence for the Public Sector
On-Demand
Media Trends for 2024: Making the Most Out of Your Data With Clean Rooms & AI
Learn how generative AI and new wrinkles in…
On-Demand
From Data to Dealmaking: How Equilar and Snowflake are Transforming Customer 360 in Banking and Private Equity
Join this webinar to learn how…
On-Demand
Ignite Your Marketing Engine with the Power of the Data Cloud
Join Snowflake, MessageGears, and their joint customer Frontdoor for a dynamic…
On-Demand
2024 Healthcare & Life Sciences Data + AI Predictions
From leveraging Gen AI to improve operational efficiency to accelerating drug research, Healthcare & Life…
On-Demand
How to Build Streaming and Batch Data Pipelines with Dynamic Tables
Join Snowflake experts February 14 and see how to build streaming…
On-Demand
QA Over Snowflake for Quant Research and Investment Analytics: Snowflake Marketplace Coffee Break
In this 15 minute demo with Refinitiv, see first…
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