Discussion on AI compute options for DACH, including Cerebras and SiPearl/EU landscape, GPUs, cloud vs on-prem, total cost of ownership, and energy considerations.

We had a big problem at Max Burgers: our basic cloud container setup kept crashing under heavy load. We weren't delivering insights on time, and we needed something better.

We tried the big enterprise platforms. The setup was more complicated than we had hoped for, maintenance ate up all our time, and the learning curve was brutal. We were spending time fighting the platform that we'd rather use to work with our data.

Finally, we found Snowpark Container Services. After migrating, we now get the performance we need without the headache. We're spending less on infrastructure and our developers can focus on building instead of dealing with crashing containers.

I'll walk you through what we've learned. Which architectural choices worked, how we split workloads across clusters, and how we handled orchestration. If you're dealing with similar container headaches or trying to figure out your data ops strategy, perhaps our learnings can save you some time.

More information coming soon. 

More information coming soon

Join LTIMindtree and Scania to explore how the modern data stack—powered by cloud services, and a data product mindset—transforms raw data into governed, reusable, and business-aligned assets. By applying domain-driven design and Data Mesh principles, organizations can decentralize ownership, align data products with business needs, and foster scalable collaboration. This approach accelerates decision-making, strengthens data-driven strategies, and delivers measurable business outcomes

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

Explore Snowflake’s enterprise AI vision, innovations, and roadmap. You’ll see how Snowflake Intelligence, Cortex AI SQL, Cortex Agents, automatic Semantic Model generation and specialized AI tools work together inside Snowflake’s secure platform, turning multimodal data into transformational impact for enterprise customers without infrastructure headaches. Walk away knowing how these integrated capabilities give business users, data analysts and engineers the tools, speed and governance required to deploy AI into production.

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

Join Maria Wiss, Daniel Myers, and Angela Carpenter, as they kickoff Snowflake World Tour Stockholm, share vision for the AI Data Cloud, customer stories and make exciting product announcements.

Every organisation is looking for ways to leverage its data with the power of AI. Discover how the AI Data Cloud provides business users with instant, meaningful insights from their enterprise data. This session will show you how to build robust, data-driven applications by leveraging Cortex Analyst and Cortex Search. Learn how these tools enable the creation of intelligent agents that can access and analyze your data on demand. We'll explore a 101-level approach to building your first agent in Snowflake, demonstrating how you can effortlessly "talk to your data" and unlock its full potential.

Powering business-critical financial services use cases requires access and seamless interoperability to state-of-the-art, best-of-breed data, services, and AI models. This session will bring to life Snowflake’s AI Data Cloud for Financial Services. Hear how industry-leading organisations are tapping into the ecosystem to drive both operational efficiencies and business outcomes. Learn about new capabilities, new partnerships, and new data and AI use cases being powered on Snowflake today.

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.

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.

Welcome to another episode of Data Unchained hosted by Molly Presley. In this episode, Molly sits down with Ted Weatherford, VP of Business Development at Xsight Labs, to explore the cutting-edge future of data infrastructure. They dive deep into the rise of DPUs (Data Processing Units), how they compare to GPUs, and why 800G networking could change the balance of supercomputing forever. From AI data centers and neo cloud architectures to the Open Flash Platform initiative, this conversation uncovers how efficiency, scalability, and democratization of technology are shaping the next generation of computing. Find out more about Xsight Labs by visting their webstite: https://xsightlabs.com/ Cyberpunk by jiglr | https://soundcloud.com/jiglrmusic Music promoted by https://www.free-stock-music.com Creative Commons Attribution 3.0 Unported License https://creativecommons.org/licenses/by/3.0/deed.en_US Hosted on Acast. See acast.com/privacy for more information.

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.

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.  

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.

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.

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.

In the era of accelerated digital transformation, the UK public sector stands at the crossroads of unprecedented opportunity and significant responsibility. Aligning with critical administrative priorities — such as enhancing citizen experience, improving cybersecurity posture and increasing government efficiency — requires practical, innovative solutions. Join us to explore how Snowflake's AI Data Cloud for Government & Education enables AI-driven analytics and data collaboration to deliver measurable impact on mission-critical operations. Showcasing real-world UK public sector use case demos, we will highlight how leading government organisations can leverage AI to drive data-informed decision-making, automate processes and transform public service delivery.