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.

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Connect Critical Business Data Faster with Zero-copy Data Sharing
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Spend less time on pipelines and more time delivering insights and AI use cases to your organization.
Learn MoreBuild Powerful AI Apps Using Anthropic Claude in Snowflake Cortex AI
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Join us for a hands-on lab to learn how to build retrieval-augmented generation (RAG) and agent-based AI applications using the Sonnet model within Snowflake Cortex AI’s secure environment.
Register NowCarMax’s Data Journey: From On-Prem to Snowflake to Optimized Insights
April 23
Discover how CarMax successfully migrated 450+ data pipelines, 80+ TB of data, and 1,200+ BI reports from a complex, on-prem system to Snowflake in just 18 months.
Register NowData Engineering Connect
April 29
Learn how to master modern data engineering with real-world demos and hands-on labs. Join us live!
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Scale and Operationalize AI with Snowflake and AzureML
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Improve Your Marketing Campaigns with Real-Time Analytics from Piano and Campaign Insights from Adverity, All Powered by Snowflake
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6 Top Trends in Data Engineering for 2023 – APAC
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Snowpark for Python AMA: Data Engineering with Stored Procedures in Snowflake
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Is Your Organization Unlocking the Full Value of Data to Realize the Promise of I4.0?
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The Principles Of Pricing: Go-to Market Effectively and Drive Profitability
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Demo: Sharing Data Securely With Your Business Partners Across Clouds and Regions
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Moving from Data Analysis to Data Action in Higher Education
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Setting Up a Modern Marketing Data Stack
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