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.

Explore how Snowflake and Microsoft collaborate to transform data and AI workflows. Learn to operate on a single data copy between Microsoft Fabric OneLake and Snowflake via Apache Iceberg, eliminating duplication. Discover Real-Time RAG AI Agents that integrate Snowflake's trusted data and enterprise systems for instant Microsoft Copilot responses, without copying data. Unlock Real-Time Actions using PowerApps with live query and writeback to Snowflake, all with no code. Simplify and innovate with these powerful tools.

In this customer-led session, you'll hear how Entain successfully addressed various scaling challenges using generative AI. Discover how their journey from manual, time-consuming processes for data and analytics projects went to a highly efficient, automated workflow that reduced engineering effort by 30% and time to market for data products by 25% - all in the first 3 months of utilising Snowflake Cortex AI and Streamlit.

Ordnance Survey has evolved from a traditional mapmaker into a cutting-edge data powerhouse. We're obsessed about enabling location insight for all. We set the benchmark in location data —a rich, structured representation of the built and natural environment across Great Britain. Trusted by governments, businesses, and individuals, our data informs decisions, enables innovation, and drives sustainability. OS data provides a base layer that can be easily linked to other datasets, enabling organisations to overlay their own information and unlock powerful new insights. Why? Because everything happens somewhere. Whether you're assessing climate risk in financial services or identifying vulnerability hotspots for police forces, location data helps you understand where things happen—and more importantly, why. Wherever decisions rely on knowing the truth about place, OS is there.

The financial services industry has transitioned from AI fervor to intentional AI use cases and ROI. Moving forward, success hinges on not merely getting access to state-of-the-art foundational models, but also the ability to combine technology with deep financial services domain expertise and context. This session outlines how Snowflake is delivering an end-to-end AI value proposition for the financial services enterprise, enabling them to build, deploy, and scale intelligent applications directly on their data. Attendees will learn from Snowflake executives about the company's AI vision for the industry, the newest AI capabilities, and the key business use cases that can be enabled today. 

As healthcare and life sciences organisations look to transform their business functions by leveraging AI, the ability to ingest and transform multimodal data is more critical than ever. Join this Healthcare & Life Sciences overview and hear how leaders are working with Snowflake to simplify their data foundations, and learn what the latest Snowflake announcements mean for the industry. We will also provide actionable insights on how to both enable AI by architecting for interoperability and leverage AI for operational efficiency.

See how Snyk, the leader in secure AI software development, evolved an internal AI tool into Snyk Assist, a secure, customer-facing assistant powered by Snowflake.

This session will dive into the architecture and design patterns, showing how Snowflake enables scalable data ingestion and powers retrieval through the Cortex Search service. Expect a joint demo that highlights real-world integration between Snyk and Snowflake and learn about the key considerations when building customer-facing AI products.

Key takeaways:

•From Idea to Impact: How an internal-facing tool became a customer product with Snowflake as the data foundation. •Security by Design: Why embedding guardrails into AI workflows is critical, and how Snowflake makes it repeatable. •Hands-On Demo: Watch Snyk + Snowflake in action, collecting, preparing, and serving data to power an AI assistant.

Hargreaves Lansdown faced a critical challenge: fragmented data and legacy systems were slowing down insights and limiting strategic decision-making. By migrating to Snowflake and adopting a data products strategy with Sigma, the company is building a unified source of truth to streamline financial reporting, strengthen governance, and expand self-service analytics. With Sigma data apps reducing reliance on spreadsheets and manual reporting, teams are shifting to focus more on high-value work while fostering a culture of innovation.

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

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

Jaja Finance is on a mission to empower customers to buy, borrow, and build, driven by technology, fuelled by data, and built for the future. But internally, the data team faced fragmented ways of working: non-standard modelling, limited transparency across teams, slow time-to-serve, all while navigating governance needs. In just one year, the team built a resilient, transparent, scalable data foundation by consolidating all data on Snowflake and standardizing development in Coalesce. 

In this session, Sarah Tolfrey, Head of Data Operations shares Jaja’s foundation-first playbook, from templating and data quality to iterative feedback loops that helped unlock:

•5x faster delivery on complex and unstructured data •Same-day turnarounds for change requests with downstream impact checks •30% faster development on complex projects usingCoalesceAI-powered Copilot, and  •47% reduction in model compute costs •Improved onboarding and cross-team visibility. This transformation opened the door to cutting-edge AI projects and broader analytics use across the business, accelerating Jaja’s mission to serve customers with speed, intelligence, and confidence.

As Snowflake’s trusted healthcare partner and a long-term ally of the NHS, InterWorks has powered successful Snowflake deployments across the system. Join us to explore proven strategies for building a resilient data platform and safeguarding patient-identifiable data with confidence.

Most teams are being asked to do more with less. The fastest productivity wins now come from Agentic AI, but legacy ETL and brittle data estates hold you back. In this 15-minute session, Infinite Lambda and Pacific Life Re share a practical roadmap to make your Snowflake platform AI-ready in weeks, not years.

What happens when marketing teams spend countless hours on manual campaign analysis while missing critical market opportunities? In this session, discover how AI is transforming marketing from a cost centre into a revenue-driving powerhouse. You'll see how Snowflake's Cortex AI enables marketers to automatically classify campaign assets, analyse multimodal performance data, and generate personalised content at scale—all without waiting for post-campaign analysis. This is marketing analytics reimagined—where AI democratizes data science, accelerates decision-making, and turns every campaign into a learning opportunity that drives immediate business impact.

A reliable, performant, secure and scalable data layer is critical for SaaS applications — but managing and scaling it remains a major challenge. Snowflake is uniquely architected to address many of the challenges of SaaS applications. In this session, we’ll explore the key challenges of building SaaS applications, uncover opportunities for optimization, and demonstrate how Snowflake enables scalable, efficient and secure architectures.

Modern software teams face constant pressure to move fast without sacrificing quality. Experimentation allows developers, data scientists and product teams to safely test new ideas, measure their impact with real metrics, and make confident decisions backed by data.

In this hands-on lab, you’ll use LaunchDarkly to: - Roll out new features safely with feature flags - Define and connect metrics to evaluate feature performance - Run experiments and analyze results using trusted data in Snowflake

You’ll learn how to build and run experiments end-to-end, from deployment to analysis, and gain a clear understanding of how LaunchDarkly and Snowflake together enable warehouse-native experimentation at scale.