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Snowflake

data_warehouse cloud analytics olap

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Join the JPMorgan Chase Wealth Management RegTech team as they showcase their innovative use of Snowflake to integrate data, analytics and AI into a unified platform for all lines of defense, including controls, risk and compliance. Discover their plans to leverage LLM capabilities through Cortex AI to deliver cutting-edge risk and regulatory insights.

Learn best practices that enhance efficiency by 50%, strengthen compliance, mitigate risks and achieve substantial cost savings. Gain valuable insights into proactive risk management and staying ahead of industry trends and challenges. Don't miss this opportunity to explore the future of data-driven compliance and control.

Builders Keynote

The Snowflake AI Data Cloud provides engineers and data scientists with a platform that makes development fun by being able to focus on the code and not the infrastructure. But how? Join this keynote to take a deep dive into technical demos of Snowflake Cortex, Streamlit, Snowflake Native Apps and other AI features. During the keynote, you will hear from technical experts, including Snowflake customers, that will share best practices to help you design and implement your own AI apps and services.

In response to the growing demand for integrating new data into our data platform, the Data Engineering Team at Okta has developed a solution utilizing Snowpark for Python to automate construction of data pipelines. Discover how Okta's Zero Touch Platform creates end-to-end pipelines that ingest events arriving on S3 and transforms data in Snowflake using Streams and Tasks. The platform features integrated capabilities to detect schema changes in data streams, facilitating automatic evolution of Snowflake table schemas. Crafted with privacy in mind, it also allows for data classification through tags and systemically masking data using tag-based masking policies.

Open table formats empower companies to bring compute to their data while maintaining a single copy of data. At Capital One, we use Iceberg Tables to optimize ingestion and storage costs in Snowflake without compromising data integrity or performance. This enables us to expand how we leverage Snowflake's capabilities for diverse workloads. In this session, we'll share how Iceberg helps us democratize compute choices along with key learnings from migrating datasets from native Snowflake tables.

How Coinbase Developed an End-to-End ML Platform on Snowflake

Join this session to learn how Coinbase builds end-to-end ML workflows on top of Snowflake’s platform for optimal data security, governance and price performance. Using features such as Snowflake Feature Store and Snowflake Model Registry, Coinbase now automates batch and online inference on predictive ML models to quickly and accurately unban users who were initially incorrectly flagged as suspected fraud or bots, resulting in an improved user experience and increased revenue.

As compute warehouses become more commonly used, they become more cost efficient. At Pfizer, business domains at first had their own compute warehouses, and distinct functions (such as ETL, reporting, etc.) within each domain had their own dedicated warehouses. Pfizer has since switched to one set of common warehouses, one of each size and a larger value for MAX_CLUSTERS so that the warehouse handles many concurrent queries. Learn how Pfizer has seen cost savings of 30% without any performance degradation by using this approach.

Join Snowflake’s Head of AI Products for a tour of Snowflake’s enterprise-AI vision, recent innovations and roadmap. You’ll see how Snowflake Intelligence, automatic Semantic Model generation and specialized AI tools work together inside Snowflake’s secure platform, turning multimodal data into transformational impact for enterprise customers without infrastructure headaches. Walk away knowing how these integrated capabilities give business users, data analysts and engineers the tools, speed and governance required to deploy AI into production.

Legacy to Snowflake: How to Avoid Failing Your Data Warehouse Migration

Migrating a legacy data warehouse to Snowflake should be a predictable task. However, after participating in numerous projects, common failure patterns have emerged. In this session, we’ll explore typical pitfalls when moving to the Snowflake AI Data Cloud and offer recommendations for avoiding them. We’ll cover mistakes at every stage of the process, from technical details to end-user involvement and everything in between — code conversion (using SnowConvert!), data migration, deployment, optimization, testing and project management.

Making the Most of Generative AI in Snowflake: A Live Prompt Engineering Demo

Unlock the full potential of generative AI in Snowflake with hands-on prompt engineering! In this live demo, we'll build and refine prompts from scratch, showcasing how to harness LLM-powered features like Cortex Analyst, Document AI and Cortex functions. Attendees will see real-time development, practical use cases and best practices to get the most out of Snowflake’s AI capabilities — whether for extracting insights, automating workflows or enhancing data pipelines with AI-driven intelligence.

Opening Keynote

Hear from Snowflake CEO, Sridhar Ramaswamy, as he discusses the impact AI has had across every organization and how the Snowflake AI Data Cloud is helping to accelerate enterprise AI. Then, in a CEO fireside conversation, Sridhar together with NVIDIA Founder and CEO, Jensen Huang, will discuss what the future holds in this new AI era. Finally, Snowflake CMO, Denise Persson, will be joined by industry leaders to discuss their organizations' data initiatives and the successes and challenges of driving impact with data and AI.

Platform Keynote

Industry-leading companies leverage the Snowflake AI Data Cloud to transform their businesses through AI innovation. Join Snowflake CEO Sridhar Ramaswamy, Co-Founder and President of Product Benoit Dageville, and EVP of Product Christian Kleinerman as they unveil the latest innovations in Snowflake’s unified platform that make it easy to break down silos, develop and distribute modern apps, and securely empower everyone with AI. You’ll see live demos from Snowflake’s engineering and product teams, and hear from some of the best-known global organizations on how they are shaping industries with the Snowflake AI Data Cloud.

Self-service analytics is now as intuitive as a conversation with your data. With Snowflake Cortex AI, users across industries can extract insights effortlessly using generative AI — no advanced expertise required. Learn how Northeast Georgia Health System boosts efficiency with AI-driven insights, and see how Cortex AI powers real-world applications, automates workflows and enhances decision-making. Join us to explore the future of automated analytics.

Learn how to easily find, access, share and maximize the value of data across your organization. Explore the latest innovations from Snowflake Horizon Catalog and Internal Marketplace, delivering secure, zero-ETL data sharing to eliminate bottlenecks, drive a data-driven culture and accelerate growth. Join us for product overviews, best practices and live demos on data sharing to drive collaboration across your organization.