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.

The Met Office generates over 400TB of weather and climate data each day. To address the growing need for timely and accurate insights, we are changing our data processing and delivery methods in alignment with our strategic priorities: Purposeful Data and Intelligence, Customer First, and Agility and Innovation.

This session will detail our use of Snowflake to ingest and analyse complex weather data, converting it into actionable insight. We will also demonstrate how Snowflake enables us not only provide data of the forecast weather conditions, but to show how Snowflake can enable customers with meaningful information on the potential impact of those conditions.

This customer-led session will outline how Storio, a data-powered ecommerce business specialising in personalised photo products, has unified a fragmented ML development process onto a single platform, on Snowflake. The result - a streamlined, high quality, self-serve workflow for data scientists to build and deploy models towards efficient business decision-making and delightful end customer experiences alike.

This session will focus on how organizations are extracting significant business value by democratizing their data and optimizing resources through the Snowflake AI Data Cloud. The first part of the presentation will showcase how Snowflake helps customers craft compelling value stories for diverse AI use cases and strategic migrations, alongside best practices for optimizing cloud spend. The second part will feature a conversation highlighting how a leading enterprise overcame the common challenges of data silos and dashboard sprawl by simplifying processes with Snowflake AI capabilities. Attendees will learn actionable strategies for accelerating their AI journey and achieving measurable impact.

As a global leader in integrated payments, Planet faced the challenge of harnessing vast amounts of data across regions, systems, and customers. In this session, Ben Hughes, SVP Data at Planet, will reveal how partnering with Fivetran and Snowflake helped Planet automate data movement, centralise insights, and empower teams with trusted data at scale. Attendees will walk away with actionable insights into building a resilient, scalable data stack that not only supports today’s reporting needs but also fuels tomorrow’s innovation.

Financial services organisations have access to more data than ever before, but many struggle with getting to the right data for advanced analytics and evermore complex outputs. This session will explore how organizations should approach strengthening their data foundation by modernising legacy architectures and prioritizing an end-to-end enterprise data strategy for better data access, governance, and collaboration in mind. We'll show how organizations can scale with migrations, access external data with security and ease, and tap into unstructured data with Snowflake Openflow.

The retail and consumer goods sector is at a crossroads. As AI becomes integrated into every application and data floods the industry, companies are in a race to adapt to the new digital-first reality, reinventing their business for the digital shelf. This session will explore how a unified AI and data strategy can empower your business to master the omnichannel and "phygital" marketplace, build a more resilient supply chain, and unlock peak operational efficiency. Learn how putting centralized governance and open collaboration on Snowflake at the core of your strategy can help you win in this new era.

Radical Self-Service: Synthesia’s decision-making transformation with Omni and Snowflake When Ed Mancey joined Synthesia as the first data hire, the company had no centralized data stack, conflicting KPIs, and zero self-service. Within a few months, he rolled out Omni on top of Snowflake — enabling business teams to answer their own questions and make better decisions. Now, the sales development team is improving outbound efficiency, sales managers are increasing pipeline conversion, and board reporting runs entirely in Omni. In this session, Edward Mancey will share how they scaled analytics across the business by creating clear lines of responsibility and empowering their business users to move fast and build what they need.

This session is for builders who want to move fast. Daniel Myers will kick things off by showcasing how Snowflake's AI Data Cloud helps startups accelerate their time to market. Then, hear directly from Panaseer and Eunice AI as they share their journeys, technical architectures, and the lessons they learned while building cutting-edge AI products on Snowflake.

Join us to learn how the data product marketplace accelerates the adoption of data products, enabling businesses to share, discover, and manage curated and trusted assets. This session will feature a case study on Phoenix’s implementation of their internal data product marketplace, showcasing their journey of migrating to Snowflake and embracing a data product driven approach.