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
From 24 Hours to 9 Minutes: Complex Data Processing with Snowflake at Genuine Parts
Learn why the data engineering team at Genuine Parts choose…
On-Demand | 3:00 PM ET
Data Champions MasterBuilder Series: Make Data Work to Solve a Mystery – Part 3
July 22, 2021 The 2021 season of Data Champions: MasterBuilder Series…
On-Demand
Snowflake Live Demo: Taking AI to the Next Level with Model Inference in Snowflake with Dataiku
Learn how to take AI to…
On-Demand
How Post Holdings Uses Snowflake for Data Science To Embrace Growth and Innovation
Join Snowflake experts and leaders from Post Holdings’ Decision…
On-Demand
Snowflakeの6ワークロード 第1回 ワークロードの基本 データウェアハウス編
6種類の異なるワークロードでSnowflakeをどう活用できるのか、技術的な特徴などを踏まえて解説する全6回のウェビナーシリーズ
On-Demand
Snowflakeの6ワークロード 第2回 データを取り込み加工する データエンジニアリング編
6種類の異なるワークロードでSnowflakeをどう活用できるのか、技術的な特徴などを踏まえて解説する全6回のウェビナーシリーズ
On-Demand
Snowflake x インフォマティカで実現するデータの真価を引き出すベストプラクティス #1
Snowflakeとインフォマティカソリューションによるデータの利活用のポイントや、データの「価値」を引き出すためのベストプラクティスを踏まえて解説する全3回のウェビナーシリーズ
On-Demand
7 Ways to Start Using Unstructured Data in Snowflake
Learn about Snowflake’s new support for unstructured data and how you can store, access,…
On-Demand
Snowflakeの6ワークロード 第3回 どんなデータも分析のために溜めておく データレイク編
6種類の異なるワークロードでSnowflakeをどう活用できるのか、技術的な特徴などを踏まえて解説する全6回のウェビナーシリーズ
On-Demand
Snowflake x ThoughtSpot が支える実践的データ利活用 ~苦労の中にきらめくワクワクが詰まった挑戦の記録
日本企業がDXを達成するための最重要課題であるデータ利活用へ取り組むにはなにをすればいいか、参加者のみなさんと一緒に考える90分間のセッションです。
On-Demand
Snowflake for Data Scientists: A Two-Part Training Series
This two-part series covers best practices for utilizing key features to significantly speed up…
On-Demand
How to use Snowflake Native Connectors for Machine Learning
An inside look at using Snowflake for data preparation and feature engineering.
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