In this talk, Marcus Bergquist, CPO at Bislab, shares how Bislab are building one of the fastest-growing companies in Norway with AI, and how they have built a software factory to achieve it. Sharing how they safely stopped all spec writing, planning, and coding by hand. Elevating PMs, quants and developers from factory workers to managing the factory floor. 

Four contestants will live pitch to the audience and a panel of established startup hubs in Norway. 

We’ll open with a live demo of an agentic workflow running on real investment data at Norges Bank Investment Management - and then spend the rest of the talk explaining how it’s actually possible. The answer isn’t a clever AI trick: it’s a governed data catalogue, clean data models, and an MCP server layer that gives LLMs reliable, machine-readable context. If you’ve tried putting AI on top of messy data and wondered why it didn’t work, this talk is for you.

NAF tested Databricks Genie Agents across two domains to enable natural-language BI for business users. Accuracy was driven primarily by explicit business logic (metrics, filters, examples, and instructions), rather than generic metadata. NAF is now optimizing implementation of the agents to support its strategic focus on member engagement. Success requires a dual approach: upskilling employees in the new tool while ensuring the agents’ accuracy and reliability.

Despite heavy investments in traditional data tools, achieving true data literacy has remained elusive. Strawberry is bridging this gap with ""Data Concierge,"" a custom LLM-powered chatbot. The solution enables conversational analytics by layering Google’s Gemini over PowerBI semantic models. The presentation explores these architectural choices and features a demonstration of the tool in action.

We at Bane NOR will hopefully just have set in production a very cool data product that automates a cumbersome and error-prone process that has taken cognitive capacity away from the already over-worked train dispatchers (togledere). This model is live and predicts the delay cause of any train delay within seconds of the delay being registered for about 75% of delays with about 75% accuracy where the manually set ones have less than 50% accuracy

When we used an LLM-generated topic field to narrow document search for a retrieval agent, we discovered the topics were badly broken — one topic covered 40% of documents, duplicates existed under different capitalisation, and over 18,000 near-unique topics had been generated. The agent never errored; it simply retrieved from a skewed subset and quietly gave worse answers. This talk walks through the failure, our LDA-based fix, and the broader governance lesson: AI output feeding another system needs the same scrutiny as any other data source.

This talk presents MUNDAT, Trondheim Kommune’s DataPACT use case on compliant municipal data sharing. We introduce the concept behind LexAlign, a compliance assessment framework combining machine-readable regulatory decision flows, structured system evidence, and and LLM-supported compliance assessment. The talk explores how this approach could be applied in the MUNDAT workflow.

Your users are already asking AI which stores to trust. Are you the answer? Every business is learning to use AI, but almost none focuses on the fact that their customers are using it too. Customers decide whether to buy from them at all. When a shopper asks ChatGPT or Copilot ""what's the best place to buy X in Norway,"" an answer comes back in seconds, built from sources you've never audited and often without your brand in it. This talk follows that hidden conversation end to end: what the AI reads, which sources it trusts, why two AI engines give completely different answers, and what early data on Norwegian e-commerce reveals about who is already invisible.

This is a hands-on workshop, where you'll spend most of the time actually doing data management. We'll work through real problems in small groups, using the DMBOK as your guide. Along the way you'll see how the pieces of the framework fit together, and why this work matters more than ever now that AI runs on the data you feed it. Later we'll show you the opportunity to become a Certified Data Management Practitioner. The CDMP is the recognized global certification, built on the same DMBOK you've been practicing with during the workshop. We'll explain what it is, why it's worth it, and go through a few mock exam questions together.