Snowflake World Tour
Virtual

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 session 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.

As a data leader, you face constant pressure to deliver on strategic initiatives, from generative AI to operational efficiency. But with limited resources, how do you prioritize the projects that will drive the most significant business impact? More importantly, how do you build the business case to justify them? This session moves beyond technical requirements to provide a practical, repeatable framework for value realization. Join us to learn how to connect any data or AI use case to a core business outcome, define the critical KPIs to measure success, and shift the conversation from cost to ROI. Whether you’re a data strategist, architect, or business leader, you will leave with actionable steps to build a value-centric data strategy and ensure your investments deliver measurable results.

Makenna Ralston, CEO, CommBank iQ willl cover “The Democratisation of Intelligence” and the journey to achieve it. You will see how to differentiate between the “old way” and “new way” of accessing data and information, highlighting how a democratised approach transforms every worker into their own “Chief Intelligence Officer”. The presentation also emphasises the role of data as “universal fuel,” technology as “everyone’s superpower,” and people to “unleash collective genius” in a system where intelligence flows seamlessly.

Get inspired as we unveil the latest innovations in the AI Data Cloud—and what they mean for the future of data and AI in your business.

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.

Join us to explore how Snowflake’s AI Data Cloud for Government & Education enables AI-driven insights and data collaboration to deliver measurable impact on policy development and service delivery. Showcasing real-world public sector use case demos, we will highlight how leading government and educational organisations can leverage AI to drive data-informed decision-making, fundamentally transforming public service delivery.

Navigate the future of media with the AI Data Cloud. This session reveals how three critical trends — multimodal AI, the unified adtech/martech cloud and a centralized data gravity approach — are revolutionizing content strategies and revenue models. Discover how Snowflake empowers media leaders to deliver personalized experiences, maximize advertising ROI and streamline operations. Witness firsthand how industry pioneers leverage Snowflake and Snowflake Cortex AI to drive innovation and gain a competitive edge in the dynamic media landscape.

Discover how Snowflake is shaping the future of manufacturing and learn how AI and integration of IT and OT data in Snowflake is driving breakthrough performance in supply chains, enhancing shop floor productivity and improving product quality and service. Explore key strategies for building scalable, data-driven manufacturing systems that enable faster, smarter decision-making.

In today’s fast-evolving digital landscape, scaling AI and data innovation is no longer optional—it’s essential to staying competitive. This session explores how forward-thinking organizations are transforming their business models by embedding AI and data at the core. Discover how to move from experimentation to enterprise-scale impact, unlock operational efficiencies, and drive customer-centric innovation. Learn from real-world examples, emerging trends, and actionable strategies to harness data and AI for smarter decision-making, improved performance, and long-term resilience.

Whether you are modernizing existing systems or building entirely new capabilities, this session will offer a strategic roadmap to shape tomorrow’s business—today.

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 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.

In today’s data-driven landscape, visibility into workloads is essential for ensuring performance, reliability and efficiency. Snowflake Trail, Snowflake’s suite of observability tools, allows you to monitor, analyze and optimize diverse data workloads. In this session, we will explore key observability capabilities from auto-instrumentation to real-time monitoring. Through a real-world example, you’ll see how Snowflake Trail enables deep observability, helping you enhance performance, troubleshoot issues and drive operational excellence.

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.

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.

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 Organization 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 Optimizer can increase interoperability and data availability while keeping your data sharing costs down.

Discover how Snowflake and Amazon Web Services seamlessly integrate to democratize AI for data professionals and business users alike. See how a complete AI solution Snowflake Cortex agent and Amazon Web Services orchestrates across both structured and unstructured data sources to deliver insights, and empowers natural language data querying. Walk away with a complete understanding of how to deploy production-ready AI solutions that bridge the gap between technical capabilities and business value, making advanced analytics accessible to every team member.

In this session, learn more about Snowflake’s end-to-end ML platform and how it supports creating production-scale deployments and operationalization of your models. We will dive into MLOps essentials and Snowflake’s capabilities for model management and model serving. You can easily bring models trained externally, or train them at scale using Snowflake ML, and then securely and scalably deploy them for inference with our flexible serving environments. At the end, we’ll bring this to life with a real-life scenario of managing production models, running continuous evaluations to train and deploy champion-challenger models.

Rethink how you build open, connected, and governed data lakehouses: integrate any Iceberg REST compatible catalog to Snowflake to securely read from and write to any Iceberg table with Catalog Linked Databases. Unlock insights and AI from semi-structured data with support for VARIANT data types. And enjoy enterprise-grade security with Snowflake’s managed service for Apache Polaris™, Snowflake Open Catalog.

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 organizations 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 organizations to obtain the best of both worlds.

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 interoperability, Trust Center, MFA updates, Copilot for Horizon Catalog, sensitive data, data quality, lineage, and more.

Learn how to accelerate and automate migrations with SnowConvert AI, featuring data ecosystem migration agents powered by Snowflake Cortex AI. SnowConvert AI is your free, automated solution designed to dramatically reduce the complexities, costs, and timelines associated with data warehouse and BI migrations. It intelligently analyzes your existing code, automating code conversion, data validation, and streamlining the entire migration process. Join us for an overview of the solution, migration best practices, and live demos.

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 better oversee, control and optimize 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

“nlock the full potential of your SAP data. This session explores how companies are leveraging Snowflake to accelerate their SAP modernization journey, moving beyond traditional analytics to achieve a connected data cloud. We’ll dive into different strategies for effectively leveraging your SAP ERP data within Snowflake, providing a robust, multi-data type foundation for advanced analytics, machine learning, and AI on all your company’s and business partner data.
Learn how to enhance business outcomes by applying AI to your SAP data and discover compelling customer examples that showcase real-world success. You’ll leave with actionable insights on how to transform your SAP data into a strategic asset that drives innovation and growth.

Discover how Snowflake Openflow transforms traditional data pipeline management by providing visual workflow orchestration directly within your data cloud environment. This demo showcases intuitive drag-and-drop interfaces for designing complex data transformations while leveraging Snowflake’s native compute and storage capability.

Explore the future of data interaction through conversational AI applications powered by Snowflake’s AI capabilities. This session demonstrates creating intelligent agents that query and analyze your Snowflake data warehouse using natural language, enabling business users to unlock insights without technical expertise.

Learn how Snowflake’s integration with Apache Polaris and Iceberg creates a unified, open catalog experience for multi-cloud data architectures. This demo reveals how organizations maintain vendor neutrality while leveraging Snowflake’s performance and governance features across diverse data lake environments.

Discover how Model Context Protocol (MCP) enables seamless AI model integration with Snowflake’s data ecosystem, allowing models to access and process enterprise data securely. This demo showcases real-time model inference and training workflows that leverage Snowflake’s scalable compute while maintaining data governance and security standards.

Explore Snowflake’s comprehensive security framework including role-based access controls, data masking, and audit capabilities that ensure enterprise-grade data protection. This session demonstrates implementing zero-trust architectures, automated compliance monitoring, and granular data governance policies across your entire data ecosystem.

Learn proven strategies for migrating from traditional data warehouses to Snowflake’s cloud-native architecture with minimal downtime and maximum efficiency. This demo covers automated schema conversion, data validation techniques, and performance optimization strategies that ensure successful enterprise-scale migrations.

Uncover advanced techniques for optimizing Snowflake costs while maintaining peak performance through intelligent resource management and usage monitoring. This session demonstrates automated scaling strategies, warehouse optimization, and cost allocation methods that can reduce expenses by up to 40% without compromising data processing capabilities.