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.

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.

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 accelerate and automate your data warehouse migration to Snowflake with enhancements to SnowConvert, Snowflake's native code conversion and data migration solution. Join us for new product and feature overviews, best practices and live demos.

Learn how to leverage build, test and deploy your work with Snowflake's latest developer tooling. Join us for new product and feature overviews, best practices and live demos.

Learn how to minimize complexity in warehouse management with Snowflake's latest compute innovations. Join us for new product and feature overviews, best practices and live demos.

Learn how to bring all your data together with Snowflake with open and interoperable pipelines, no matter if it's structured, unstructured, batch or streaming. Join us for new product and feature overviews, best practices and live demos.

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.

Learn how to streamline governance and security for data and AI with Snowflake's latest updates to Horizon Catalog. Join us for new product overviews and live demos covering Trust Center, sensitive data, data quality, lineage and more.

Learn how to better oversee, control and optimize the cost and performance of your Snowflake workloads. Join us for new product and feature overviews, best practices and live demos.

Learn how to efficiently run analytics over unstructured data, geospatial data and other advanced formats with Snowflake's latest SQL functions. Join us for new product and feature overviews, best practices and live demos.

Learn how to efficiently scale and manage data engineering pipelines with Snowflake's latest capabilities for SQL- and Python-based transformations. Join us for new product and feature overviews, best practices and live demos.

Discover how to build and deploy a no-code, agentic AI platform with Snowflake Intelligence. See how organizations are bringing together structured and unstructured data to make insights accessible across their entire enterprise via an AI-driven agentic interface, all within Snowflake. Join us for a product overview, best practices discussion and live demo.

Learn how to deploy the best-in-class OSS models in Snowpark Container Services for AI-driven insights in Snowflake. Join us for new feature overviews, best practices and a demo featuring an advanced agentic use case.

Learn how the latest capabilities in Snowflake ML accelerate and simplify the dev-to-prod lifecycle. Join us for new feature overviews and a live demo showcasing our latest innovations.

Unity Catalog support for Apache Iceberg™ brings open, interoperable table formats to the heart of the Databricks Lakehouse. In this session, we’ll introduce new capabilities that allow you to write Iceberg tables from any REST-compatible engine, apply fine-grained governance across all data, and unify access to external Iceberg catalogs like AWS Glue, Hive Metastore, and Snowflake Horizon. Learn how Databricks is eliminating data silos, simplifying performance with Predictive Optimization, and advancing a truly open lakehouse architecture with Delta and Iceberg side by side.

Migrating your Snowflake data warehouse to the Databricks Data Intelligence Platform can accelerate your data modernization journey. Though a cloud platform-to-cloud platform migration should be relatively easy, the breadth of the Databricks Platform provides flexibility and hence requires careful planning and execution. In this session, we present the migration methodology, technical approaches, automation tools, product/feature mapping, a technical demo and best practices using real-world case studies for migrating data, ELT pipelines and warehouses from Snowflake to Databricks.

DoorDash Data organization actively adopts LakeHouse paradigm. This presentation describes the methodology which allows to migrate the classic Data Warehouse and Data Lake platforms to unified LakeHouse solution.The objective of this effort include Elimination of excessive data movement.Seamless integration and consolidation of the query engine layers, including Snowflake, Databricks, EMR and Trino.Query performance optimization.Abstracting away complexity of underlying storage layers and table formatsStrategic and justified decision on the Unified Metadata catalog used across varios compute platforms

This session explores the strategic migration from Snowflake to Databricks, focusing on the journey of transforming a data lake to leverage Databricks’ advanced capabilities. It outlines the assessment of key architectural differences, performance benchmarks, and cost implications driving the decision. Attendees will gain insights into planning and execution, including data ingestion pipelines, schema conversion and metadata migration. Challenges such as maintaining data quality, optimizing compute resources and minimizing downtime are discussed, alongside solutions implemented to ensure a seamless transition. The session highlights the benefits of unified analytics and enhanced scalability achieved through Databricks, delivering actionable takeaways for similar migrations.