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Virtual Event

Connect Critical Business Data Faster with Zero-copy Data Sharing

April 16

Spend less time on pipelines and more time delivering insights and AI use cases to your organization.

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Virtual Hands-on Lab

Build Powerful AI Apps Using Anthropic Claude in Snowflake Cortex AI

April 22

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.

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Webinar

CarMax’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.

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Virtual Event

Data 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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Thought Leadership

On-Demand

Streamlining the Media Supply Chain: The Power of Metadata

Learn how metadata is enabling media organizations to optimize media supply chain, leading…

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Webinar

On-Demand

Show Me Your Architecture: A Technical Deep Dive with ConnectWise

In this Show Me Your Architecture session with Matt Losee, Director of…

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Thought Leadership

On-Demand

How to Get Started With Monetising Your Data

Learn how Sonra has successfully monetised their data by creating and marketing their data…

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Product Demo

On-Demand

Live Demo: Building a Collaborative Data-Driven Healthcare System

Healthcare organisations face the difficult challenge of combining disparate datasets for analysis. Data in…

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Thought Leadership

On-Demand

Cloud-Native Solutions for Superior Customer Experience in Banking

In this webinar, we will explore how cloud-native solutions can enrich customer data and…

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Virtual Hands on Labs

On-Demand

Demo Day: Achieve Unified Data Engineering and Data Science!

Presented by Snowflake and partners, join us for a half-day event to learn…

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Product Demo

On Demand

Overcoming Interoperability Challenges with kipi.bi and Snowflake: Unlocking Value from Healthcare Data

Dive deep into the pressing issues surrounding healthcare data…

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Webinar

On-Demand

Show Me Your Architecture: A Technical Deep Dive of HyperFinity’s AI platform for Retailers

In this Show Me Your Architecture session…

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Virtual Hands on Labs

On-Demand

Virtual Hands-On Lab: Accelerate Machine Learning with Snowflake and Dataiku

Join this lab led by Snowflake and Dataiku where they will show…

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Thought Leadership

On-Demand

Leverage Data to Uplevel Your Retail Holiday Planning

Holiday planning has never been more challenging than this year given the inflation pressure,…

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Thought Leadership

On-Demand

How Collaboration Enables Data Diversity and AI

Tune into this live webinar and Q&A session on July 28 at 10 a.m. PT…

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Product Demo

On-Demand

Cybersecurity Product Demo – Hunting for Password Spraying Attacks

This session showcases how Snowflake empowers security teams to combine internal log data with…

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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.

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