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.
Register NowSnowflake on Snowflake Webinars
Explore the SeriesVirtual Hands-On Labs
Register NowSnowflake Live Demo
Register NowExplore Snowflake Webinars
On-Demand
Snowflake Office Hours: ARC
Airlines Reporting Corporation (ARC) provides global distribution solutions and data products built on the most comprehensive air travel…
On-Demand
Snowflake Office Hours: Panoramic
Prior to working with Snowflake, Panoramic was challenged with building data processing systems on top of “legacy” or…
On-Demand
Snowflake Office Hours: RSG Media
Using Snowflake, RSG Media enables its clients to align their business around a core content portfolio that…
On-Demand
Snowflake Office Hours: SnapTravel
With Snowflake set at the center of their data stack, SnapTravel has been able to achieve a single…
On-Demand
Snowflake Office Hours: Simon
As a fast-growing startup, Simon needs the most modern and scalable data architecture possible. Learn how the team…
On-Demand
Snowflake Office Hours: Fair
After migrating to Snowflake, Fair can access all its data in seconds, enabling all its users to confidently…
On-Demand
How Rakuten Migrated the Data of 10 Million Customers to the Cloud
Join Rakuten’s VP of Analytics, Mark Stange-Tregear, on October 30 at…
On-Demand
Snowflake Office Hours: PowerChord
Join us in our Snowflake Office Hours with PowerChord on November 5, 2019.
On-Demand
Snowflake Office Hours: HOVER
HOVER transforms smartphone photos into accurate, interactive 3D models. HOVER has enabled their business to become data-driven through…
On-Demand
Snowflake Office Hours: edX
edX, an online teaching and learning platform providing Massive Open Online Courses (MOOC), needed to combine event and…
On-Demand
Snowflake Office Hours: Hashmap
Hashmap, a technology consulting services company operating across clouds, required more visibility for security and cost monitoring than…
On-Demand
Snowflake Office Hours: DriveTime
Snowflake has enabled us to scale and store more data, refreshed more frequently, quicker and simpler.
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