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 250 onsite participants to ensure an exclusive and impactful experience. – Request the agenda today to explore more about the summit.

Our 2026 Speakers

Frank J. Kartmann

Vice President Platform Architecture & AI
Deutsche Bank AG

Alex Astrogold

Head of Data & Information Management
Ericsson

Ilja Hermans

Head of strategy & analytics Europe
Philips

Bjørn Broum

Director of Corporate Development for technology,
architecture and data
Norwegian Public Road Administration

George Linton

Chief Data Officer
Electrolux Group

Sami Kalliokoski

Team Lead, AI Data Platform
Elisa Oyj

Audun Fauchald Strand

Director of platform and infrastructure
Nav

Gunilla Thorén

Head of Data & Analytics
Volkswagen Group Sverige

Mark Beckwith

Director of Data Governance and Architecture
Financial Times

Matthew Cawsey

Strategic MDM Sales Director, EMEA
Stibo Systems

BE THE FIRST TO DISCOVER WHAT’S COMING NEXT

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

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.

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