Learn how Snowflake is innovating to provide faster warehouses with Standard Warehouse- Gen2, while making compute easier to use with better price/performance through Snowflake Adaptive Compute. Join us for new product and feature overviews, best practices and live demos.

Learn how to bring all your data together with Snowflake Openflow to build with limitless interoperability and deployment flexibility, no matter if it’s structured, unstructured, batch or streaming data. Make your integration pipelines ready for AI and the future.

Learn how to drive collaboration across your business ecosystem with the latest from Snowflake Horizon Catalog, including External Data Discovery, to effortlessly find data both within Snowflake and from external systems. See demos of the latest Internal Marketplace updates, including Organisation Profiles and Request for Access, to streamline and accelerate the sharing of data, apps, and AI. Finally, learn how Iceberg Data Sharing and the Egress Cost Optimiser can increase interoperability and data availability while keeping your data sharing costs down.

Learn how to build and deploy accurate conversational apps and bring AI-powered data agents into production with ease and trust across your enterprise. Join us for new product insights, feature overviews, best practices and live demos.

The retail and consumer goods industries are undergoing significant transformation, driven by shifting consumer behaviors, global economic changes, supply chain disruptions and, most importantly, rapid technological innovation. This session is designed for business and technology leaders in RCG, offering them insights and strategies needed to navigate and thrive in this evolving landscape. Learn from the transformational experience of the leading global consumer goods company, Snowflake industry experts and key partners as they explore how data and AI technologies are shaping the industries’ future.

Learn how to better oversee, control and optimise the cost and performance of your Snowflake workloads through capabilities like Cost-Based Anomaly Detection, Tag-based Budgets and Performance Explorer. Join us for new product and feature overviews, best practices, and live demos.

“In this session, We will enable CDAO’s Enterprise Data Strategy by exploring the full lifecycle from the concept of data products—packaged, readily consumable data assets—to their distribution through Snowflake’s internal marketplace.

We will drive home 5 key points within this data product lifecycle:
1. Simplified data access for business users
2. Improved data discoverability and understanding
3. Increased data utilization and adoption
4. Accelerated time to insight
5. Metrics & Considerations”

Master AI-powered analytics in Snowflake. Learn how to leverage Snowflake’s powerful AI SQL functions for advanced analytics on unstructured and structured data using AI. We’ll also demonstrate how to use Semantic Views to bridge the gap between data and business understanding.

Explore Snowflake’s enterprise AI vision, innovations, and roadmap. You’ll see how Snowflake Intelligence, Cortex AI SQL, Cortex Agents, automatic Semantic Model generation and specialised 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.

Navigating an AI-powered, data-driven financial services future can be challenging, particularly as the industry faces greater pressure to demonstrate tangible returns on their AI investments. Join the Financial Services keynote at Summit and hear directly from industry leaders about their partnerships with Snowflake, the business and technology challenges they’re looking to solve and the key use cases they’re implementing. And learn what the latest Snowflake announcements mean for the industry. Whether you’re a business executive, a technology leader or a Snowflake user, this session will provide actionable insights on how to architect for data and AI ROI.

To effectively govern your AI models end to end, you need visibility and controls across the entire data lifecycle. This includes ensuring data quality for model inputs, using data lineage to track dependencies and workflows, and enforcing safeguards on model outputs. Join this session to learn best practices for governing models with Snowflake — improving data integrity, increasing transparency into your AI pipeline, and ensuring responsible AI deployment.

Come learn the best practices around monitoring (alerts); backup/restore (cloning, replications, practicing failover scenarios, using finalise constraints); scheduler configurations (intuition around target lag, scheduling tick overview, target lag vs scheduling refresh); debugging best practices (walk through some debugging workflows); running thousands of DTs and much more!

A practical Product-oriented guide to leveraging Snowflake’s privacy-preserving Collaboration tools, including data protection policies, data clean rooms, synthetic data and more to unlock business value from sensitive data. Modern organisations are looking for ways to collaborate internally and externally on sensitive data of all kinds, while still respecting the sensitivity. Hear how Snowflake Data Collaboration capabilities enable leading organisations to obtain the best of both worlds.

Unlock Snowflake’s power with Snowflake Cortex AI. We’ll share real-world examples, including reducing work item backlogs through intelligent prioritization and automating client data updates from free text across multiple source systems. Additionally, we use Streamlit as an interface for review and quality checks. Learn about our successes, challenges and practical tips for your Snowflake Cortex AI implementation.

In this session, discover how Entain reimagined its enterprise data architecture by leaning into Snowflake’s native capabilities unlocking performance, scalability, and speed without overengineering.

We’ll kick off with our high-impact migration from SQL Server to Snowflake, showcasing how this shift delivered cloud-native scalability, reduced complexity across data operations, and paved the way for faster insights.
Next, we’ll explore how we’ve built out our core data warehouse layer using Snowflake Tasks enabling streamlined orchestration and scalable ETL with minimal operational overhead.

Finally, we’ll demonstrate how Streamlit has transformed the way our Finance team manages data enabling timely data capture, improving data integrity, and supporting real-time decision making for critical downstream processes.