Discover the building blocks for an effective data strategy to help you unlock AI, ML and apps innovation. See how you can eliminate data silos, govern access to all your data across your company and ecosystem, and empower all teams with isolated, instantly elastic compute resources for the languages of their choice (Python, SQL, Java, Scala and more). Plus, see a live Snowflake demo on stage.

Leveraging real-time data is key to optimizing operations and decision-making. This session will explore how NorgesGruppen utilizes dynamic tables to streamline data processing, enhance transparency, and drive actionable insights across all business areas. In this session, you’ll learn:

• How real-time data products empower teams to make informed decisions
• Ways to improve forecasting and optimize profitability with live data
• How dynamic tables enhance efficiency and automation
• Best practices for creating a seamless data-sharing ecosystem

Enjoy a short break, fill up your cup and talk to your peers.

At Schibsted Marketplaces (soon to be Vend), we set out to challenge the limitations of traditional BI reporting. In just one week, we built a Talk to Your Data chatbot—an AI-powered solution that gives sales teams instant, natural-language access to real-time data, eliminating the frustrations of slow, rigid reports.

By leveraging Snowflake Cortex Analyst, we transformed how our teams interact with data, enabling faster insights, greater flexibility, and seamless AI-driven exploration. This session will walk through our rapid innovation process, the chatbot’s architecture, and how Snowflake’s AI capabilities empower fast experimentation and real-world AI adoption.

Norway’s largest bank, DNB, began integrating Snowflake into their Data & AI Platform in 2021. This expansion aimed to support both traditional data warehouses and modern data products. After a successful Proof of Concept and an 18-month pilot period, Snowflake was officially launched at DNB in 2023.

In this talk, we will share:

• How DNB’s domain-oriented and decentralized Tech/Data strategy supports this approach.
• The rationale behind using a single account to serve multiple business units and domains.
• Strategies for isolating domains and their data products within a single Snowflake account.
• The automation of access group creation during data product team onboarding.
• Our shift towards “DevOps for data” in building data products.
• The role of cloning in providing isolated development environments.
• The tags we use for automating access management, data masking, domain, and data product isolation.

Why choosing Capgemini if you are building a Snowflake solution.

Talk with your peers, learn about partner offerings and see more of Snowflake.