Overview of GitMesh's core vision and architecture, including how the platform enables AI-powered project management for open source repositories.

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.

Discover how to build and deploy a no-code, agentic AI platform with Snowflake Intelligence. See how organizations are bringing together structured and unstructured data to make insights accessible across their entire enterprise via an AI-driven agentic interface, all within Snowflake. Join us for a product overview, best practices discussion and live demo.

Snowflake's latest features, like Cortex, are revolutionizing how we approach AI and data innovation. But how do you build the robust, AI-ready data pipelines needed to power them without getting bogged down in complex coding and lengthy development cycles?

This hands-on lab reveals how to bridge that gap. Discover how Coalesce’s data transformation platform lets you harness Snowflake’s most powerful capabilities. We’ll show you how to automate the complex groundwork, freeing you to focus on delivering high-impact data and AI projects faster than ever. You’ll learn how to:

•Automate and accelerate pipeline development by 10x using ready-made templates to handle common data transformations •Seamlessly operationalize Snowflake Cortex, bringing powerful AI and ML functions directly into your data workflows in minutes •Master modern data engineering on Snowflake by simplifying the use of advanced features like Dynamic Tables, Iceberg Tables, and Snowpark automation. Get Ready for the Lab:

For the best hands-on experience, please sign up for a Snowflake trial account before the event. Once activated, create your Coalesce trial account via Snowflake’s Partner Connect portal.

This is a Hands-On workshop, all attendees must bring their own laptop to participate.

Bridging the Gap: Using Generative AI for Audience Insight & Segmentation

Seats are limited to 16 attendees. Register here to save your spot. 

https://www.snowflake.com/event/marketing-data-stack-roundtable-swt-amsterdam-2025/

This roundtable explores how generative AI (GenAI) is revolutionizing audience segmentation and insights. The discussion will focus on practical, in-the-moment applications that empower marketers and media professionals to move beyond static data analysis. We will examine how GenAI tools, like those available natively on Snowflake Cortex, can translate complex data filters into rich, narrative-driven audience descriptions. 

The conversation will also highlight how GenAI capabilities streamline workflows by allowing users to build audience segments using natural language, democratizing access to data and accelerating decision-making. The goal is to provide a clear, concise, and actionable understanding of how GenAI is bridging the gap between raw data and powerful, human-centric insights.

In this session, discover how organizations are extracting actionable insights from text, documents, images and audio — all in Snowflake Cortex AI. This session reveals practical techniques for building integrated multimodal analytics pipelines using Cortex AI SQL functions and Document AI. Learn how to orchestrate complex, multi-step data analysis across previously siloed data types — simply, with SQL.

VodafoneZiggo, one of Europe’s leading telecommunications and entertainment providers, had accumulated years of data stored on multiple platforms, each shaped by different modeling approaches and design decisions, resulting in complexity and mounting technical debt. As the company moved to consolidate everything on Snowflake, the challenge was to unify these inconsistent systems into a single, efficient architecture. Rather than build custom tooling, VodafoneZiggo chose Coalesce to define its patterns once and automatically render them as code, ensuring governance, consistency, and cost efficiency across teams. This shift ensures consistent data vault modelling, enables faster time to market, and provides teams with the flexibility to innovate within well-governed standards—balancing predictability with adaptability at enterprise scale.

In this session, Stephen Martens, Data & AI Solution Architect & Vincent Eggenhuizen, Senior Data Engineer, will share how VodafoneZiggo approached consolidation, standardized its architecture, and empowered teams to build faster with confidence.

Booking.com has confidently accelerated their AI vision with a solid and smart data governance foundation, built on Snowflake and Immuta. We will discuss Booking.com's AI goals, how agentic AI is reshaping the traveler experience, and the importance of scalable data governance in making it happen. We’ll also discuss how Booking.com’s data marketplace allows them to find, share and provision instant data access, allowing data owners to share data at scale to achieve a truly connected customer experience.

Learn how to accelerate and automate migrations with SnowConvert AI, featuring data ecosystem migration agents powered by Snowflake Cortex AI. SnowConvert AI is your free, automated solution designed to dramatically reduce the complexities, costs, and timelines associated with data warehouse and BI migrations. It intelligently analyzes your existing code, automating code conversion, data validation, and streamlining the entire migration process. Join us for an overview of the solution, migration best practices, and live demos.

Learn how to build a Data Agent for Snowflake Intelligence using Snowflake Cortex AI that can intelligently respond to questions by reasoning over both structured and unstructured data.

We'll use a custom dataset focused on bikes and skis. This dataset is intentionally artificial, ensuring that no external LLM has prior knowledge of it. This gives us a clean and controlled environment to test and evaluate our data agent. By the end of the session, you'll have a working AI-powered agent capable of understanding and retrieving insights across diverse data types — all securely within Snowflake.

This is a Hands-On workshop, all attendees must bring their own laptop to participate.

Seats are limited to 16 participants to ensure a focused, interactive discussion. Registration on request. 

This roundtable will explore how top financial institutions are leveraging Snowflake for data engineering, analytics, and the next wave of AI workloads, the latest Snowflake innovations in AI, and best practices to accelerate regulatory reporting (DORA, ESG, BCBS) and harnessing Snowflake’s marketplace of 800+ FSI data providers. 

The rapid adoption of AI raises a burning question: How do we measure the effectiveness of our teams and our impact on the business?  This isn’t theoretical; it's existential. A recent survey of CIOs found that “Estimating and demonstrating AI value” was the top barrier to implementing AI initiatives. The pressure to deliver is on. Boards worry. The press speculates: “Is all of this actually worth anything?” Bottom line: It’s up to data and AI leaders to deliver and measure the business impact of their AI initiatives and the underlying data. Many already are.

Join this session to learn how to define and track the metrics used to justify continued investment in data and AI infrastructure. Hear how seasoned data and AI executives ensure that the AI initiatives they deploy will deliver true business value.

Join Toyota Motor Europe to discover their journey towards a fully operationalized Data Mesh with dbt and Snowflake.

TME (Toyota Motos Europe), one of biggest automobile manufacturing companies, oversees the wholesale sales and marketing of Toyota and Lexus vehicles in Europe. This session will showcase how dbt Cloud and Snowflake are supporting their data strategy.

They will elaborate on challenges faced along the way, and how their platform is supporting their future vision, e.g. enabling advanced real-time analytics, scaling while maintaining governance and best practices and setting themselves up with a strong data foundation to launch their AI/ML initiatives.

Join Martin Frederik, Maria Wiss, Grace Adamson, and Dash Desai, as they kickoff Snowflake World Tour Amsterdam, share vision for the AI Data Cloud, customer stories and make exciting product announcements.

In this episode of Hub & Spoken, Jason Foster, CEO and Founder of Cynozure, speaks with Roberto Maranca, data & digital transformation expert and author of Data Excellence. They explore what it really means to build a 'data fit' organisation, one that treats data capability like physical fitness by understanding where you are, training for where you want to be and making improvement a daily routine. Drawing from ancient philosophy and modern business, Roberto explains how concepts from Socrates and Aristotle can help leaders rethink culture, value and human responsibility in an AI-driven world. Together, they discuss how organisations can: Shift from seeing data as a tech issue to a leadership mindset Build collective intelligence and cultural readiness Stay human in the age of intelligent machines Cynozure is a leading data, analytics and AI company that helps organisations to reach their data potential. It works with clients on data and AI strategy, data management, data architecture and engineering, analytics and AI, data culture and literacy, and data leadership. The company was named one of The Sunday Times' fastest-growing private companies in both 2022 and 2023 and recognised as The Best Place to Work in Data by DataIQ in 2023 and 2024. Cynozure is a certified B Corporation. 

Découvrez comment MongoDB révolutionne la gestion des sinistres automobiles dans cette session technique hands-on. Nous allons déployer ensemble une application qui analyse les dommages véhiculaires via l’intelligence artificielle et stocke intelligemment les données de réclamation

As AI continues to transform industries, performance testing is on the cusp of exciting changes. This session explores potential AI applications in performance testing, focusing on the possibilities. Things like AI correlations creating bulletproof scripts, assisting load test scenario creation, and many others. Whether you're a performance tester, QA professional, or just curious about the next wave of innovation, this talk will challenge you to think beyond current limitations and envision what AI could bring to our field in the near future.

Atlas Search et Atlas Vector Search ont été conçus pour s'intégrer parfaitement à l'écosystème MongoDB. Découvrez les nouveautés des prochaines versions qui rendront ces services encore plus puissants et faciliteront davantage le développement, même pour les applications de recherche et d'IA présentant des exigences complexes en matière d'évolutivité ou de requêtes.

Tech talks session during Creative AI Meetup

I've spent around 30 years working in data science, and the past decade focused mainly on geo-spatial applications. In this session I'll give a whistle-stop tour of some of the projects I've been involved in, from volcano motion detection and algal bloom prediction to ground movement monitoring, maritime data analysis, and the use of geo-spatial data for machine learning.