Key Takeaways: The 5th edition of the Nordic Data and AI Readiness (DAIR) Awards, organized by Hyperight at Kistamässan in Stockholm alongside the Data Innovation Summit, introduced the first published Data and AI Readiness Index. Built on data from over 3,000 delegates across 936 companies, the 2026 index reveals that 71.7% of Nordic organizations operate at an “Established” AI maturity stage, focusing on governance, scaling, and platform architecture over pure experimentation.
The Nordic Data and AI Readiness Awards, known as DAIR, were created to recognize data, analytics, and AI functions at a point when those functions were established and growing inside Nordic organizations, but largely unnoticed and unglorified well before generative AI turned the category into a mainstream topic. The intent was straightforward: celebrate the practitioners quietly building the foundation, addressing real risks, and laying the groundwork for enterprise adoption.
The 2026 DAIR Awards Relaunch: Strategic Integration with Data Innovation Summit
The 2026 ceremony, held at Kistamässan in Stockholm, marked the fifth edition of the DAIR Awards. Between the fourth and fifth editions sits a deliberate “leap year”: the awards were paused in 2025 to undergo structural restructuring.
For its first four editions, the DAIR Awards operated as a standalone entity. Beginning with the fifth edition, the program moved to run in direct connection with the Data Innovation Summit to consolidate industry effort and increase the scale of enterprise involvement. Pausing an awards program to restructure rather than rebranding on the fly reflects DAIR’s core ethos: building for the community’s actual operational needs.
Evolution of Award Categories: From Practitioner Tracks to Organizational Scale
Across its first four editions, DAIR ran two parallel tracks:
- Individual Practitioner Categories: Included Data Management Professional of the Year, Analytics Professional of the Year, Data Science Professional of the Year, Machine Learning Professional of the Year, Artificial Intelligence Professional of the Year, Data Engineering Professional of the Year, Responsible AI Professional of the Year, and Data and AI Community Voice of the Year.
- Organizational Categories: Recognized excellence in data and AI transformation, data management innovation, technical AI innovation, generative AI excellence, and public/private sector AI-driven business excellence.
The 5th Edition Streamlining
Starting with the fifth edition, the structure was streamlined. Individual practitioner categories were consolidated into a single recognition: the Lifetime Achievement in AI honor, sitting alongside the organizational categories. This editorial choice sharpens focus onto enterprise-scale data and AI operationalization while preserving a prestigious career achievement award. 
Independent Jury: Arm’s-Length Governance by Hyperight
Hyperight, the creator and organizer of the DAIR Awards, exercises no influence over winner selection. Judging is conducted by an independent panel of working enterprise practitioners:
- Anna Felländer – Co-Founder and President, Asenion
- Tonia Sideri – VP of AI & Automation, Novo Nordisk
- Ulla Kruhse-Lehtonen – CEO, DAIN Studios
- Jakob Mainz – Director of AI Governance, Novo Nordisk
- Luba Weissmann – AI & Data Director, Epiroc
- Mikko Muurinen – Head of Data & AI, Helen
- Linda Borelius – SVP of Data Sweden, Solita
- Risto Karinkanta – Head of ESG & Structured Finance Tools, Nordea
Additional panel members represent leading organizations including Cognizant, Sweco, and JP/Politiken Media Group. Because judging is handled exclusively by practitioners rather than sponsors or event staff, DAIR serves as an authentic community benchmark.
The 2026 Data and AI Readiness Index: Key Data Findings
The fifth edition introduced the Data and AI Readiness Index, developed in collaboration with the Data Innovation Summit’s research arm. The 2026 dataset comprises:
- 3,010 event delegates representing 936 companies across 51 countries
- 405 Call for Speakers submissions from 270 organizations
- 392 editorially validated agenda sessions
- 94 exhibiting technology vendors
| Metric / Dimension | Data Point / Value | Market Context & Insights |
| Research Dataset Scope | 3,010 delegates from 936 companies (51 countries) | Covers 405 speaker submissions, 392 agenda sessions, and 94 vendors |
| Dominant Maturity Stage | Established Stage | Organizations have moved past pilots and focus on enterprise scaling/governance |
| Agenda Alignment Breakdown | • 71.7% Established • 12.0% Leading • 4.8% Visionary | Highlights focus on execution rather than early-stage experimentation |
| Self-Reported Focus Gap | ~50% of speaker submissions focused on AI & GenAI | High interest in GenAI front-ends |
| Validated Reality Focus | Data governance, efficiency, & platform architecture | Shows foundational infrastructure is prioritized over flashy AI front-ends |
Governance vs. Generative Hype
The index highlighted a clear gap between market messaging and execution: while nearly half of speaker submissions focused on generative AI, the editorially validated agenda prioritized data governance, operational efficiency, and platform architecture, the foundation required for reliable AI execution at scale.
Why the DAIR Benchmark Matters for Nordic AI Strategy
Most regional technology awards rely on public vote counts or vendor sponsorships. DAIR’s model, combining an independent practitioner jury with a published, empirical readiness index, provides an authentic evidence base for Nordic data and AI progress.
Winning a DAIR award in 2026 benchmarks an organization against clear empirical data, validating that its execution succeeds within an industry landscape where most peers are still navigating enterprise scaling challenges.
More about the Nordic DAIR Awards
The awards are organized by Hyperight. However, Hyperight staff and event sponsors have zero influence over the selection process. Winners are chosen strictly by an independent practitioner jury from operating companies like Novo Nordisk, Epiroc, Solita, Nordea and more.
Yes, but only through the Lifetime Achievement in AI category, which honors long-term contributions to Nordic data maturity. All other individual categories were retired to focus recognition on broad organizational operationalization.
