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.

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.