Data Innovation Summit 2026

Date

May 6, 2026
to May 8, 2026

Location

Stockholm, Sweden
Kistamässan

Price

From $0.00

Attendees

0

The Data Innovation Summit is the largest and most influential annual Data and AI event in the Nordics and beyond, bringing together the most innovative minds, enterprise practitioners, technology providers, business leaders, start-up innovators and academics, working with Applied Data Innovation, Data Science, Big Data, ML, Applied AI, Generative AI, Data Management, Data Engineering, Architecture, Databases and IoT, in one place to discuss ways to accelerate AI driven Transformation throughout companies, industries and public organisations. With over 300 Nordic and international speakers in this 11th edition, spread across fifteen stages, seven workshop rooms, 300+ TIP sessions, and plenty of learning and networking activities in the exhibition area, the Data Innovation Summit is the place to be for all professionals and organisations working with utilisation of data and AI innovation for enhancing customer experience, improve operational processes, enable future sustainability, reinventing business models, or developing data-driven products and services.

Conference Information

Conference Highlights

  • 11th edition (DIS2026X1) featuring 3 days of in-person and online content, 15 stages, 3500+ delegates, 350+ speakers, 300+ sessions, 100+ exhibitors, 200+ TIP sessions, 7 workshop rooms, DAIR Awards 2026, Data After Dark Party, and 10km DIS2026X1 Run.

What It's Known For

The Data Innovation Summit is known for being the largest and most influential annual Data and AI event in the Nordics, with over 2000 practical case studies presented in the past 10 editions. The event features 15 stages, 350+ speakers, 300+ sessions, 100+ exhibitors, and 200+ Technology in Practice (TIP) sessions. It is recognized for bringing together enterprise practitioners, technology providers, business leaders, and academics to accelerate AI-driven transformation.

Target Audience

Enterprise practitioners, technology providers, business leaders, start-up innovators, academics, data scientists, data engineers, AI practitioners, CDOs, Chief AI Officers, analytics experts, platform builders, and professionals working with data and AI innovation across industries.

Pros & Cons

Pros

    Comprehensive program addressing all elements of a data
  • driven, AI-ready business (data, people, processes, and technology). Features both business and technical perspectives, balancing practical with inspirational content. Connects regional strengths with global insights. Offers live experiences with digital reach, and broad themes with deep, niche expertise. Over 2000 practical case studies presented in past editions.

Cons

    Pricing information is currently TBA (To Be Announced). The event is large
  • scale with 15 stages, which may require careful planning to attend desired sessions.

Conference Rankings

This conference is ranked across multiple categories based on relevance, quality, and community engagement. Click on any category to see the full rankings.

Julian Bright

Keynote Speaker

xAI - Member of Technical Staff

Julian Bright is a Member of Technical Staff at xAI, working on advanced AI research and development.

Andy Cotgreave

Keynote Speaker

Andy Cotgreave is a renowned speaker and author in the field of data visualization and analytics.

David Dadoun

Keynote Speaker

BRP - VP Data, Analytics and AI Innovation

David Dadoun leads data, analytics and AI innovation at BRP, driving transformative data initiatives.

Shreyansh Daftry

Keynote Speaker

NASA Jet Propulsion Laboratory - AI Research Scientist and Group Leader

Shreyansh Daftry is an AI Research Scientist and Group Leader at NASA Jet Propulsion Laboratory, working on AI applicati ...

Henrik Göthberg

Keynote Speaker

Dairdux - Founder/CEO

Henrik Göthberg is the Founder/CEO of Dairdux and the resident chairman of The Data Innovation Summit. He brings 10 yea ...

Shruti Khanna

Keynote Speaker

Netflix - Data Science and Engineering Leader

Shruti Khanna is a Data Science and Engineering Leader at Netflix, driving data-driven insights and recommendations.