The official agenda has been unveiled for the 11th annual Nordic Data 2030 Summit, scheduled to take place as an exclusive hybrid event from October 21–22, 2026.
Hosting its physical portion at the Birger Jarl Hotel in Stockholm, Sweden, and streaming digitally via the Agorify platform, this landmark Enterprise Data Management Conference arrives at a critical turning point. From Data Management to AI Operationalization: Building the Trusted, Contextual and Governed Data Foundation for Enterprise AI, as organizations across Sweden, Norway, Denmark, and Finland race to transition from localized AI experimentation to production-grade deployment of foundation models and autonomous systems, the summit focuses on the business-critical prerequisite: building a trusted, contextual, and governed data foundation.
The custom-built 2026 schedule prioritizes deep technical integration over industry hype. Over two days of intensive collaboration, modern Chief Data Officers (CDOs), Heads of Data, and progressive digital leaders will dive into the structural execution required to turn raw information into an organization’s most profitable asset.
The Three Core Stages Unveiled
The newly announced program is structured across three distinct, specialized stages designed to tackle modern infrastructure and strategy challenges head-on. All track presentations are 30 minutes long and will be delivered in English.
1. Data Strategy & Governance Stage
This track focuses entirely on enabling enterprise readiness for operational AI and intelligent workflows. Sessions will guide leaders on how to align data governance, ownership, stewardship, data quality, metadata, and organizational operating models. The core objective is ensuring that AI systems can scale safely, responsibly, and with measurable business impact across the entire enterprise.
2. Data Platform, Context & Architecture Stage
Bridging strategy and deep technical execution, this track focuses on building contextual, interoperable, and AI-ready data foundations. Presentations will explore how to connect modern data platforms, semantic layers, metadata, master data, and enterprise architectures. Attendees will learn to ensure their AI systems operate with trusted context, consistency, scalability, and operational resilience across complex enterprise environments.
3. Data Products, Data Quality & AI Enablement Stage
An operational and strategic track dedicated to turning trusted enterprise data into scalable business value. The agenda dives into data products, DataOps, AI enablement, workflow orchestration, observability, and operational intelligence. Sessions are tailored to help leadership teams embed data and AI capabilities directly into real business processes, daily decisions, and execution at scale.
And Plenum stage, where, practical, Inspirational, ground-breaking presentations will be setting the tone of the entire conference, tie all themes together, and provide excitement on the presentations that are about to come.
Featured Highlights & Registration
In addition to the three core stages, the event kicks off on the morning of October 21st with Hands-on Pre-Event Technical Workshops. These interactive, pre-booked sessions give senior leaders practical, first-hand exposure to modern infrastructure stacks.
The event will also feature The 2026 Executive Panel, a high-impact, 40-minute deep dive titled “What Must Data Leaders Do Now to Accelerate Enterprise AI Innovation in 2026?” aimed at examining real-world deployment challenges across both the private and public sectors.
Limited-capacity corporate entry passes and full track registration are now available via the official Data 2030 Summit tickets portal.
Early Bird tickets are now available for a limited time. Secure your place and be part of the 11th Nordic Data 2030 Summit.
