What You’ll Learn
Featured Sessions
Who Should Attend?
This track is designed for:
Selected Speakers
Dr.-Ing. Susan Wegner
Head of Group Data&AI (Global SVP)
Allianz
Altaf Patel
VP Data Analytics & AI
PepsiCo
Henrik “Henok” Lindström
Product Lead
Spotify
Merve Noyan
Machine Learning Engineer
Hugging Face
Shreyansh Daftry
AI Research Scientist and Group Leader
NASA Jet Propulsion Laboratory
Julian Bright
Member of Technical Staff
xAI
Andre Lopes
Senior Software Engineer
Tesla
Shruti Khanna
Data Science and Engineering Leader
Netflix
Saurabh Atri
Staff Software Engineer
LinkedIn Corporation
David Dadoun
VP Data, Analytics and AI Innovation
BRP
Dr.-Ing. Susan Wegner
Head of Group Data&AI (Global SVP)
Allianz
Altaf Patel
VP Data Analytics & AI
PepsiCo
Henrik “Henok” Lindström
Product Lead
Spotify
Merve Noyan
Machine Learning Engineer
Hugging Face
Shreyansh Daftry
AI Research Scientist and Group Leader
NASA Jet Propulsion Laboratory
Julian Bright
Member of Technical Staff
xAI
Andre Lopes
Senior Software Engineer
Tesla
Shruti Khanna
Data Science and Engineering Leader
Netflix
Saurabh Atri
Staff Software Engineer
LinkedIn Corporation
David Dadoun
VP Data, Analytics and AI Innovation
BRP
Dr.-Ing. Susan Wegner
Head of Group Data&AI (Global SVP)
Allianz
Altaf Patel
VP Data Analytics & AI
PepsiCo
Henrik “Henok” Lindström
Product Lead
Spotify
Ewa Szulc-Wodarska
Lead Technical Product Manager
Maersk
Juha Vesanto
Chief AI Officer
OP Financial Group
Robert Børlum-Bach
Head of Data Architecture and Transformation
JP/Politiken Media Group
Natalie Halimi
Principal Product Manager
Booking.com
Martin Dlask
Senior Principal AI/ML Engineer
King (part of Microsoft)
Max Schultze
Director of Data Engineering
HelloFresh
Julie Siezing
Director, Global Data & Analytics
GN
Winfried Adalbert Etzel
Data Governance Professional
Winfried Etzel AS
Jacqueline Berger
Data Scientist
Raiffeisenbank International
Davide Pigozzi
AI & Data Governance Manager
Securitas
Ewa Szulc-Wodarska
Lead Technical Product Manager
Maersk
Juha Vesanto
Chief AI Officer
OP Financial Group
Robert Børlum-Bach
Head of Data Architecture and Transformation
JP/Politiken Media Group
Natalie Halimi
Principal Product Manager
Booking.com
Martin Dlask
Senior Principal AI/ML Engineer
King (part of Microsoft)
Max Schultze
Director of Data Engineering
HelloFresh
Julie Siezing
Director, Global Data & Analytics
GN
Winfried Adalbert Etzel
Data Governance Professional
Winfried Etzel AS
Jacqueline Berger
Data Scientist
Raiffeisenbank International
Davide Pigozzi
AI & Data Governance Manager
Securitas
Ewa Szulc-Wodarska
Lead Technical Product Manager
Maersk
Juha Vesanto
Chief AI Officer
OP Financial Group
Robert Børlum-Bach
Head of Data Architecture and Transformation
JP/Politiken Media Group
Explore the DIS2026X1 Stages and Summits
The keynote presentations are the pillars of the entire conference and the most memorable presentations of the event. As opening plenary talks, they set the tone of the entire conference, tie all themes together and provide excitement on the presentations that are about to come. This year’s keynote list includes visionaries and leading expert names in Data, Analytics and AI.
Technical stage bringing applied machine learning engineers, data scientists, AI practitioners, and enterprise innovators together to move from pilots to scaled deployments and embed AI agents into real business processes. This year’s focus is on deploying and scaling generative and agentic AI, multimodal model advancement, agentic workflows, industry case studies, and innovation in ML pipelines.
Technical stage bringing data engineers, platform builders, and automation leaders together to design resilient and automated data pipelines that power analytics and AI. This year’s focus is on real-time and batch data processing, orchestration, automation, pipeline reliability, cloud-native data engineering, and operational practices enabling powerful AI and analytics.
Technical and process stage bringing enterprise architects, platform owners, and infrastructure leaders together to explore the next generation of data platforms. This year’s focus is on hybrid, mesh, and fabric architectures that enable interoperability, scalability, and AI readiness. Special focus on microservices, composability, modern cloud architectures, open data standards, interoperability, and future-ready data ecosystem strategies.
Stage Partner
Strategy stage bringing CDOs, strategists, and governance leaders together to align data initiatives with business transformation. Key topics include federated data management, data lakehouse design, data governance, cross-organizational collaboration, data product development, and the strategic use of data fabrics, data mesh, and marketplaces, ensuring resilient and innovative data ecosystems.
Stage Partner
Technical and strategy stage bringing BI leaders, analytics experts, and business decision makers together to turn data into actionable insights. Focus on augmented analytics, next-generation BI, predictive modeling, actionable dashboards, story-driven insights, decision automation, and maximizing the impact of enterprise analytics.
Strategy stage bringing Chief AI Officers, AI program leaders, and compliance experts together to design and scale enterprise-wide AI adoption responsibly. This year’s focus is on AI operating models, regulatory readiness, and linking adoption directly to measurable business outcomes.
Strategy and technical stage bringing CIOs, CISOs, cybersecurity managers, CloudOps engineers, DevSecOps leaders, and risk officers together to discuss ways to build and secure AI-ready infrastructure, cloud and hybrid scalability, privacy by design, zero trust approaches, cost efficiency, and resilience for mission-critical AI workloads.
Strategy and business value stage that brings AI product owners, business enablers, digital transformation champions, adoption specialists, and change managers to focus on driving widespread adoption and usability of data/AI solutions, overcoming resistance, fostering human-centric innovation, building trust, regulatory readiness, and quantifying business impact via successful case studies.
Technical and process stage bringing database professionals, data stewards, and data quality leaders together to ensure reliable data foundations for analytics and AI. Focus on leading database technologies (vector DBs, NewSQL, federated/data mesh), real-time data ingestion, advanced security, data synchronization and lineage, and modern data quality strategies for reliable and scalable AI enablement.
Live streamed program providing insight into current data practices, trends, challenges and opportunities, as well as give overview of the latest technological breakthroughs, and glimpse into the future of data management, analytics and automation. This free program consists of 45 minute panels and product overviews and is livestreamed online on Hyperight YouTube and Linkedin channel.
Several rooms for short workshops and crash-courses. The sessions are 100 minutes long and will provide training on various organisational, business, and technical topics. The rooms are the lower part of the venue and limited to 24 people per crash-course session. Due to capacity limitation participation requires pre-registration. Workshops are released weeks before the event.
To foster more immersive and in-depth knowledge sharing and interaction, we have allocated time and room for interactive roundtable discussions on both days. This provides an excellent opportunity for you to voice your opinions, share ideas and challenges, or benchmark your strategies with peers. Each roundtable session will last 40 minutes. Due to capacity limitation, participation requires pre-registration.
What is a great event without a great party? After the official end of the first summit day, this year again we are organising a Data After Dark networking party at the venue for the delegates attending the event. This is a great opportunity for the delegates to network in an informal environment and makes meaningful connections and memories. The Data After Dark program will take place in the plenum area. It will start after the end of the Expo Crawl. Refreshments and finger food can be found in several locations in the expo area.
For the fifth year in a row, we are proud to organize the annual Data and AI Readiness DAIR Awards. Traditionally held as a standalone event, this year marks a new chapter as the awards are integrated into the flagship Data Innovation Summit program. With the DAIR Awards, we celebrate some of the most forward-thinking companies and transformative Data and AI projects across the Nordic region.
MAY 9TH, 10:00 AM | KUNGSTREDGÅRDEN, STOCKHOLM
ROUTE: SCENIC LOOP AROUND KUNGSHOLMEN ISLAND
Explore Stockholm Like Never Before!
Are you ready to lace up your running shoes and take on a unique journey? The first-ever Data Innovation Summit Run (DIS Run) invites all summit attendees to experience the beautiful city of Stockholm from a different perspective. This 10 km run, winding around the picturesque Kungsholmen Island, offers breathtaking views of iconic buildings and scenic landscapes.
Why Join the DIS Run?
• Scenic Route: Enjoy a curated path showcasing Stockholm’s most photogenic spots.
• Networking Opportunity: Connect with fellow data enthusiasts in a relaxed, informal setting.
• Knowledge Exchange: Share insights and stories with other delegates as you jog along.
Key Information
• Registration Required: We need to know how many runners to expect to ensure a smooth experience for everyone.
• Open to All Skill Levels: Whether you’re a seasoned runner or a casual jogger, this run is for you.
• Meetup Point: Gather at King’s Garden, ready for an exciting start.
Let’s make this run a memorable part of your Data Innovation Summit experience!
Embrace the beauty of Stockholm and connect with your peers in a fun, healthy way. See you at the starting line!
The keynote presentations are the pillars of the entire conference and the most memorable presentations of the event. As opening plenary talks, they set the tone of the entire conference, tie all themes together and provide excitement on the presentations that are about to come. This year’s keynote list includes visionaries and leading expert names in Data, Analytics and AI.
This track brings finance innovators, digital strategists, and technology leaders to explore how AI and data are transforming financial services and digital ecosystems. This year’s focus is on open banking, AI-driven risk management, personalized financial products, and cloud-native digital services.
This track brings industrial and asset heavy innovators, data and AI leaders, and operations managers to explore how AI is powering the next generation of factories and products. This year’s focus is on predictive maintenance, digital twins, supply chain resilience, and sustainable, AI-driven product innovation
This track brings retail executives, supply chain managers, data and AI leaders to discuss how AI is reshaping customer experience and fulfillment. This year’s focus is on personalisation, demand forecasting, last-mile delivery optimization, and smart inventory management.
This track brings creative professionals, data and AI leaders, and technology innovators to explore how AI is transforming content creation and user engagement. This year’s focus is on personalised experiences, AI-driven content generation, immersive technologies, and data ethics in entertainment.
This track brings public leaders, healthcare professionals, education, data and AI leaders, innovators to discover how AI is enhancing public services and societal impact. This year’s focus is on digital transformation, health data analytics, personalized learning, and ethical AI frameworks for public good.
DIS2026X1 Partners
JOIN the DISCUSSION Online
