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.

Apache Iceberg is the foundation for an open, interoperable lakehouse, but getting the best performance from all its data is hard. In this session, you’ll learn how adaptive Iceberg optimizations in Qlik Open Lakehouse significantly simplifies the ingestion and management of high-volume, frequently changing real-time data from complex sources. We’ll unbox the adaptive engine to understand key techniques it uses to deliver unmatched query performance for Apache Iceberg tables in Snowflake.

Discover how BAGIC tackled explosive data growth and evolving business needs by migrating from legacy data platforms to a modern, scalable architecture powered by Snowflake. BAGIC’s adoption of Snowflake unlocked new capabilities in analytics, AI, and data collaboration.

Discover how AWS and Snowflake are collaborating to deliver powerful generative AI solutions that transform your business data into intelligent applications. This session explores the critical role data plays as the differentiator in generative AI implementations and how the AWS-Snowflake partnership enables organizations to build production-ready AI solutions.

We’ll examine the comprehensive AWS Gen AI stack—including Amazon Bedrock, Amazon SageMaker AI, Amazon Nova models, and Amazon Q—alongside Snowflake’s data foundation capabilities. Learn about flexible
integration patterns that maintain security and governance while leveraging the full potential of generative AI across industries. Through real-world customer examples and strategic recommendations, attendees will gain insights into implementing generative
AI solutions that drive tangible business value and competitive differentiation.

A leading retailer and real estate giant in the APAC region was facing mounting challenges: siloed legacy systems, inconsistent customer data, and the inability to make decisions in real time. With rising customer expectations for personalization and omnichannel experiences, and growing pressure to innovate with AI and advanced analytics, their existing infrastructure could no longer keep up.

Partnering with Snowflake and Quantiphi, the retailer embarked on a data modernization journey to unify fragmented systems, centralize customer insights, and create a scalable, cloud-native foundation for innovation. Leveraging Snowflake’s advanced data management, governance, and scalability — combined with Quantiphi’s expertise in data engineering and AI — the company built a robust platform that enabled:
A single source of truth across departments
Real-time insights for faster, smarter decisions
Faster time to insights with modern BI and analytics
Readiness for AI/ML-driven innovation
This session will share the transformation blueprint — from challenges to execution — and most importantly provide a detailed guide on how organizations can future-proof their data landscapes, accelerate innovation, and deliver exceptional customer experiences by building on Snowflake.

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.

Enterprises are moving beyond experimentation with AI toward creating real business impact through Agentic AI — where intelligent agents can reason, decide, and act autonomously. In this session, we’ll explore how Snowflake and Accenture are partnering to help organizations unlock this transformation. We’ll cover the market landscape and emerging trends, introduce a reference architecture for Agentic AI, and showcase a Snowflake-aligned GenAI ecosystem that accelerates adoption. Together, we’ll highlight how our joint Center of Excellence (CoE) is shaping the future of GenAI and Agentic AI by combining data, intelligence, and execution at scale. Finally, we’ll bring it to life with client case studies that demonstrate how enterprises are already leveraging Snowflake and Accenture to move from data to decisions — achieving agility, efficiency, and innovation in the Agentic AI era.

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.

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.

Learn about the latest and greatest cost management capabilities in Snowflake to optimize your spend and get the most bang for your buck. This talk will walk through capabilities and best practices that you can use today.

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.

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 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 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.

This session will explore why and how Snowflake’s unique capabilities are crucial to enable, accelerate and implement industrial IoT use cases like root cause analysis of asset failure, predictive maintenance and quality management. The session will explain the use of specific time series capabilities (e.g. asof joins, CORR & MATCH function), built-in Cortex ML functions (like anomaly detection and forecasting) and LLMs leveraging RAG to accelerate use cases for manufacturing customers.

Learn how to seamlessly build, distribute, and deploy advanced enterprise-grade AI and data apps with efficiency. Discover built-in tools and programs that streamline commercialization for both you and your customers. Join us for new product and feature overviews, best practices, and live demos.

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.

Data clean rooms are rapidly evolving from privacy-preserving data collaboration environments into powerful engines for AI- and ML-driven insights. This session will dive into the technical architecture and product capabilities enabling clean rooms to support advanced use cases across the marketing lifecycle — from identity resolution and lookalike modeling to cross-channel attribution and real-time optimization. Beyond advertising, we’ll examine how these innovations are scaling into verticals like retail and healthcare, where secure data collaboration is unlocking next-gen personalization, predictive analytics and clinical insights.