Request the Data 2030 Summit 2026 PDF Agenda
11th edition – A decade of shared knowledge, community, and ambition
Data 2030 Summit 2026 is the premier roundtable gathering the data management community in the Nordics to explore strategies, architectures, and enablement needed to turn data into a trusted foundation for intelligent and autonomous operations.
With 30+ international speakers, interactive panels, and unmatched networking, it’s the go-to event for CDOs and data leaders driving Data Governance, Quality, MDM, Enterprise Architecture, Data Products, and DataOps.
The 2026 edition is limited to just 400 onsite participants to ensure an exclusive and impactful experience. – Request the agenda today to explore more about the summit. 2030 Summit 2026 is the premier roundtable gathering the data management community in the Nordics to explore strategies, architectures, and enablement needed to turn data into a trusted foundation for intelligent and autonomous operations.
Thanks to our 2025 Speakers
Daniela Kato
Product Lead
Zalando
Martin Secher Skeem
Head of Datahub and Data Science Engineering
Saxo Bank
Søren Meincke Persson
Director of Data Engineering
Norlys
Inga Rós Gunnarsdóttir
Chief Data Officer
The City of Reykjavík
Bente Lønnquist Busch
Head of Data Platform
Telenor Norway
Magnus Dahlbäck
Senior Director Data, AI and Platform
Voi
Fredrik Backner
Chief Data & AI Officer
Nokia
Daniel Areljung
Product Management Lead
Electrolux
Unlock the Power of Data at the Data 2030 Summit!
Unlock the
Power of Data
at the Data 2030 Summit!
Join us at the highly anticipated Data 2030 Summit and gain exclusive insights into the latest trends and developments in Data Management and beyond.
By attending this event, you’ll have the opportunity to discuss and learn about:
Operationalize Enterprise AI
Operationalize Enterprise AI
Learn how organizations can move beyond AI experimentation toward trusted operational execution by building scalable data foundations, contextual architectures, and AI ready operating models.
Build Trusted Data Foundations
Build Trusted Data Foundations
Discover how governance, ownership, metadata, stewardship, and data quality must evolve to support operational AI, intelligent automation, and enterprise wide trust at scale.
Create AI Ready Data Architectures
Create AI Ready Data Architectures
Explore how modern data platforms, semantic layers, master data, metadata, interoperability, and contextual intelligence are reshaping enterprise architecture for the AI era.
Turn Data Into Business Value
Turn Data Into Business Value
Learn how to operationalize trusted data into reusable data products, intelligent workflows, automation, decision intelligence, and measurable business outcomes across the enterprise.
Improve Data Quality for AI
Improve Data Quality for AI
Understand how organizations can strengthen observability, lineage, real time validation, and proactive data reliability to support trustworthy AI systems and autonomous workflows.
Modernize Data Management Practices
Modernize Data Management Practices
Gain practical insights into the latest approaches for governance operationalization, DataOps, semantic consistency, interoperability, AI enablement, and scalable enterprise data management.
Accelerate AI Readiness Across the Organization
Accelerate AI Readiness Across the Organization
Learn how leading enterprises are aligning business teams, data teams, architects, governance functions, and leadership around common operational AI priorities.
Reduce Complexity Across Modern Data Estates
Reduce Complexity Across Modern Data Estates
Discover practical strategies for managing fragmented cloud, SaaS, hybrid, and legacy environments while improving scalability, interoperability, resilience, and architectural control.
Explore the Future of Enterprise Data Management
Explore the Future of Enterprise Data Management
Stay updated on the latest enterprise trends including operational AI, AI agents, semantic architectures, contextual intelligence, data products, data observability, and AI ready governance.
Learn From Real Enterprise Implementations
Learn From Real Enterprise Implementations
Hear practical case studies, operational lessons learned, and implementation strategies from leading enterprises actively operationalizing trusted data and AI across their organizations.
Operationalize Enterprise AI
Learn how organizations can move beyond AI experimentation toward trusted operational execution by building scalable data foundations, contextual architectures, and AI ready operating models.
Build Trusted Data Foundations
Discover how governance, ownership, metadata, stewardship, and data quality must evolve to support operational AI, intelligent automation, and enterprise wide trust at scale.
Create AI Ready Data Architectures
Explore how modern data platforms, semantic layers, master data, metadata, interoperability, and contextual intelligence are reshaping enterprise architecture for the AI era.
Turn Data Into Business Value
Learn how to operationalize trusted data into reusable data products, intelligent workflows, automation, decision intelligence, and measurable business outcomes across the enterprise.
Improve Data Quality for AI
Understand how organizations can strengthen observability, lineage, real time validation, and proactive data reliability to support trustworthy AI systems and autonomous workflows.
Modernize Data Management Practices
Gain practical insights into the latest approaches for governance operationalization, DataOps, semantic consistency, interoperability, AI enablement, and scalable enterprise data management.
Accelerate AI Readiness Across the Organization
Learn how leading enterprises are aligning business teams, data teams, architects, governance functions, and leadership around common operational AI priorities.
Reduce Complexity Across Modern Data Estates
Discover practical strategies for managing fragmented cloud, SaaS, hybrid, and legacy environments while improving scalability, interoperability, resilience, and architectural control.
Explore the Future of Enterprise Data Management
Stay updated on the latest enterprise trends including operational AI, AI agents, semantic architectures, contextual intelligence, data products, data observability, and AI ready governance.
Learn From Real Enterprise Implementations
Hear practical case studies, operational lessons learned, and implementation strategies from leading enterprises actively operationalizing trusted data and AI across their organizations.
Request the Data 2030 Summit 2026 PDF Agenda
11th edition – A decade of shared knowledge, community, and ambition