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.

Evoke, the leading betting and gaming company behind brands like William Hill, 888, Mr Green and Winner, has unified its data with Tealium and Snowflake to power product analytics, AI, and real-time insights. Discover how this transformation drives speed, compliance, and personalized customer experiences—and what’s next on their data journey.

Executives don’t just ask what happened- they want to know why. Answering those questions quickly and consistently is where AI often falls short.

This workshop will show you how to teach AI to answer “why” by grounding it in a semantic layer. You’ll learn:

•What a semantic layer is and how it enables consistent answers •How to model relationships and metrics for clarity and trust •How to leverage semantic views on Snowflake •How to enable AI using Cortex to provide reliable, self-serve analytics •How to extend AI to generate deeper analyses you can depend on Prepare for the session by signing up through this link: https://bit.ly/honeydew-swt-2025

By the end, you’ll be equipped to give AI the foundation it needs to explain why - delivering faster, more consistent insights your business can rely on.

This presentation outlines the transformation from legacy systems to a modern data and AI platform within Toyota Material Handling Europe. It highlights the strategic adoption of Snowflake to unify data architecture, enable real-time analytics, and support external data sharing. The journey includes the foundation and evolution of an internal AI initiative, DataLabs, which matured into a full-scale AI program.

DNB, Norway’s largest bank, began building a cloud-based self-service Data & AI Platform in 2017, delivering its first capabilities by 2018. Initially focused on ML and analytics, the platform expanded in 2021 to include traditional data warehouses and modern data products. Snowflake was officially launched in 2023 after a successful PoC and pilot.

In this talk, we’ll walk through our journey.

Where We Came From

•Discover how legacy data warehouse bottlenecks sparked a shift toward decentralised, self-service data capabilities.

Where We Are

•Learn how DNB enabled teams to own and operate their data products through: •Streamlined domain onboarding •“DevOps for data” and “SQL as code” practices •Automated services for historisation (PSA)

Where We’re Going

•Explore how DNB is evolving its data mesh with: •A hybrid model of decentralised and centralised data products •Generative AI, metadata automation, and development support •Enhanced tooling and services for data consumers

EQT, a global investment organization specializing in private capital, infrastructure, and real assets, has transformed its data operations by fully adopting the modern data stack. As a cloud-native company with hundreds of internal and external data sources — from YouTube to Google Cloud Storage — EQT needed a scalable, centralized solution to ingest and transform data for complex financial use cases. Their journey took them from fragmented, Excel-based workflows to a robust, integrated data pipeline powered by Fivetran.

In this session, you’ll learn how:

•EQT streamlined external data ingestion and broke down data silos •How a unified data pipeline supports scalable financial analytics and decision-making •Fivetran’s ease of use, connector maintenance, and cost-effectiveness made it the clear choice