Like every other industry, retail has not been spared in the most recent AI-infused disruption. From store operations to warehouse management, each part of the value chain will be transformed in the near future.

Crisp is a global leader that offers a state-of-the-art collaborative commerce platform heavily infused with AI. The platform enables global CPGs to manage their retail businesses. SKUtrak, which is a demand intelligence platform, is the core part of the platform. SKUtrak has been built wholly on Snowflake to leverage on-demand capabilities to ingest, transform and share billions of rows of data per day.

In this talk, we dissect the ways in which AI is currently influencing the retail tech space. We dive into real-world use cases and deployed solutions, such as TruDemand and SKUtrak Promote (an AI-enriched promotions management). The role that Snowflake plays in enabling these products is also discussed

Every organization wants to leverage its enterprise data to its full potential. Learn how Snowflake Intelligence bridges the gap, providing business users with instant access to the data they need. Explore how you can build enterprise-grade applications with data agents in Snowflake. With 2025 being recognized as the "year of agents," discover how application architectures are evolving with these agentic innovations. See how Snowflake Intelligence is going to enable you to build high-quality, trusted agents quickly and efficiently.

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

In this customer-led session you'll learn how RS Group, a global omni-channel provider of products and services for industrial customers, rebuilt its data platform on AWS and Snowflake to enable governed, self-service data access. Their new hub-and-spoke model with departmental "Labs" helps teams deliver value fast. Hear how they accelerated ingestion, embedded governance with classification tags, RBAC, and masking policies, as well as some candid lessons on their org design and tech choices.

In an era of unprecedented competition, manufacturing companies are turning to data not just for operational efficiency, but as a core driver of business transformation. This panel will explore how a modern data strategy can move an organization beyond optimization and into true innovation. We'll hear from tesa's CIO about their journey to leverage data as a strategic asset, with real-world examples from their use of shop floor analytics to drive quality and digitalization. Snowflake's Manufacturing Field CTO will then discuss how cutting-edge technologies like AI and GenAI are making data accessible to everyone, unlocking a future of smarter operations and entirely new business models. This session will provide clear, actionable insights on how to initiate, implement, and scale data programs for maximum impact.

More information coming soon

Every organisation is looking for ways to leverage its data with the power of AI. Discover how the AI Data Cloud provides business users with instant, meaningful insights from their enterprise data. This session will show you how to build robust, data-driven applications by leveraging Cortex Analyst and Cortex Search. Learn how these tools enable the creation of intelligent agents that can access and analyze your data on demand. We'll explore a 101-level approach to building your first agent in Snowflake, demonstrating how you can effortlessly "talk to your data" and unlock its full potential.

Powering business-critical financial services use cases requires access and seamless interoperability to state-of-the-art, best-of-breed data, services, and AI models. This session will bring to life Snowflake’s AI Data Cloud for Financial Services. Hear how industry-leading organisations are tapping into the ecosystem to drive both operational efficiencies and business outcomes. Learn about new capabilities, new partnerships, and new data and AI use cases being powered on Snowflake today.

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.

All Response Media, Europe’s number-one performance media agency, turned a fragmented reporting process into a competitive advantage by combining Snowflake, Domo, and AI Agents. What once took 2.5 days now takes a single hour, with campaign insights delivered in real time and usage up 230 percent across the agency. In this session, discover how All Response Media built a scalable modern data stack, introduced Agents that translate data into client-ready insights, and created transparency that gives their global brand customers a genuine edge.

Modern data engineering leverages Python to build robust, scalable, end-to-end workflows. In this talk, we will cover how Snowflake offers you a flexible development environment for developing Python data pipelines, performing transformation at scale, orchestrating and deploying your pipelines at scale. Topics we’ll cover include:

•Ingest: Data source APIs, Snowflake file-to-read and ingest data of any format when files arrive, with sources outside Snowflake •Develop: Packaging (artifact repo), Python runtimes, IDE (Notebook, vscode) •Transform: Snowpark pandas, UDFs, UDAFs •Deploy: Tasks, Notebook scheduling

Learn how to design and deploy intelligent data agents using Snowflake Cortex. These agents can orchestrate multi-step operations by retrieving and reasoning over structured + unstructured data with Cortex Analyst and Cortex Search.

Bringing your own laptop is mandatory for participating in this session.

Discover how some of the telecom industry's top players are using the Snowflake Data Cloud for Telecoms to transform their businesses. This session explores how a unified, AI-driven data platform is the key to unlocking new insights, improving operational efficiency, and creating a competitive advantage in a rapidly transforming market. Hear directly from industry leaders as they share their journeys into a data-driven future.

This panel discussion will explore how the convergence of data and AI is revolutionising the healthcare and life sciences ecosystem. We will bring together leaders from health care companies, clinical research, research and development, and life sciences organisations to discuss the challenges of siloed data and how a modern data platform can unlock secure collaboration. The conversation will focus on real-world examples of how a unified approach to data is accelerating innovation, improving patient care, and ultimately, driving better outcomes.

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 centralised data gravity approach — are revolutionising content strategies and revenue models. Discover how Snowflake empowers media leaders to deliver personalised experiences, maximise 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.

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.

Operating across multiple countries with many business units, Belron built a repeatable framework on Snowflake using the dbt Platform to prevent scaling chaos. This solution codifies the analytics development lifecycle (ADLC) through modular code, environments, CI/CD, and automated testing. This session will share reusable patterns for new rollouts and provide a practical decision framework for choosing between dbt Projects on Snowflake and the dbt Platform for enterprise control, including governance, cross-project mesh, and observability. You'll also learn about the adoption metrics Belron uses to measure success. You'll learn: reusable ADLC guardrails, a dbt product decision tree, and how standardization enables a sustainable mesh.

This session features Richard Lewis, Senior Solution Architect at Matillion, in conversation with Daniel Adams, Global Analytics Manager, from Edmund Optics, as they share how data integration, AI, and cloud technologies transformed technical support and accelerated time to value. Edmund Optics’ team of 50 highly skilled engineers faced a flood of repetitive technical inquiries, averaging 25 minutes per response, across a catalog of 34,000+ components. To streamline support, they partnered with Matillion, Snap Analytics, and Snowflake to build an AI-powered chatbot. Deployed in just 10 weeks, the chatbot delivers instant, consistent answers to common queries, freeing engineers to tackle complex issues and dramatically improving support efficiency.

Snowflake ML enables efficient development and deployment of advanced models without any data movement. With multi-GPU support, MLOps integration and Git-based workflows, Container Runtime provides a scalable environment for training, and Snowflake ML’s products such as Model Registry and Model Serving make it easy to deploy these models in production. This session explores best practices for scalable ML workflows and the creation of production-ready ML pipelines in Snowflake.

Every organisation is reimagining how data and AI can drive faster, smarter decisions — but success depends on more than technology. It takes alignment between strategy, architecture, and culture.

Join Evoke’s Chief Analytics Officer, Mark Stern, together with Snowflake and AWS, as they share how Evoke built a unified, intelligent foundation that connects data, analytics, and AI to accelerate business outcomes. This session is a candid look at what it really takes to modernise at scale — from navigating change and simplifying legacy environments to enabling trusted, AI powered workflows across the enterprise.

Why attend: Walk away with practical lessons on balancing collaboration, governance, and innovation — and how to build a data and AI foundation your teams can grow with, together.

VIOOH, a leading programmatic digital out-of-home (DOOH) platform, is revolutionising the advertising industry by connecting buyers and sellers in a global marketplace. In this interactive session, explore how VIOOH leverages Snowflake to power this transformation - delving into the challenges of managing and analysing vast amounts of real-time data from billions of daily ad impressions, and how Snowflake's scalable and secure AI Data Cloud provides the foundation for VIOOH's success.  

AstraZeneca’s future digital ambitions require unlocking the potential of data and AI to accelerate and innovate drug development. However, to enable AI @ scale you need a solid data foundation. Central to this vision is the evolution from fragmented data silos to a robust, scalable approach for building and deploying data products. In this session, we explore what constitutes a data product for AstraZeneca, and how our journey began with significant challenges: a complex data mess exacerbated by regulatory pressures, isolated working models, and traditional waterfall development methods. 

We will explore the solutions that drove transformation, including a new operating model, rapid prototyping methods, and the implementation of DataOps.live on Snowflake. These changes have drastically cut the time needed to deliver a data product, reducing it from 4-6 months to just 4-6 days. This swift progress is unlocking significant business value and revolutionizing team collaboration across the organization.

Looking ahead, AstraZeneca is poised to expand these foundations by embracing knowledge graphs and scalable AI solutions, further amplifying the impact of data products on drug development, and operations.

Telecommunications lies at the heart of the all-connected, AI-driven world - powering global connectivity and driving the next era of digital transformation. This session explores the fundamental requirements and opportunities for becoming a data-first telecom operator, highlighting how industry leaders are reshaping services and operations through unified, robust data, analytics and AI/ML strategies. Attendees will discover what's driving the next wave of telecom innovation, the essential foundations of an AI-powered telco, and how the Snowflake AI Data Cloud enables scalable, end-to-end machine learning and analytics. From breaking down data silos to deploying advanced AI/ML solutions, gain practical insights into building a truly modern, intelligent telecom business ready to thrive in a data-centric future.

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.

AI is only as good as the data it runs on. Yet Gartner predicts in 2026, over 60% of AI projects will fail to deliver value - because the underlying data isn’t truly AI-ready. MIT is even more concerned! “Good enough” data simply isn’t enough. 

At this World Tour launch event, DataOps.live reveal Momentum, the next generation of its DataOps automation platform designed to operationalize trusted AI at enterprise scale on Snowflake. Based on experiences from building over 9,000 Data Products to date, Momentum introduces breakthrough capabilities including AI-Ready Data Scoring to ensure data is fit for AI use cases, Data Product Lineage for end-to-end visibility, and a Data Engineering Agent that accelerates building reusable data products. Combined with automated CI/CD, continuous observability, and governance enforcement, Momentum closes the AI-readiness gap by embedding collaboration, metadata, and automation across the entire data lifecycle. Backed by Snowflake Ventures and trusted by leading enterprises, including AstraZeneca, Disney and AT&T, DataOps.live is the proven catalyst for scaling AI-ready data. In this session, you’ll unpack what AI-ready data really means, learn essential practices, discover a faster, easier, and more impactful way to make your AI initiatives succeed. Be the first to see Momentum in action - the future of AI-ready data.