Welcome to Data Innovation Summit!
The Most Influential Data, AI and
Advanced Analytics Event!
7TH & 8TH may, 2025 | HYBRID
Welcome to DIS 2025!
Where people come to gain insight into radical ideas, with proven ROI.
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, 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 10th edition, spread across nine stages, seven workshop rooms, 200+ 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.
With over 1000 practical case studies presented on the past 9 editions and with geo events in the MEA, APAC and the ANZ region, the event is a worldwide movement, ushering the community of data, analytics and AI practitioners across functions, companies, industries, sectors, countries and regions to collaborate, benchmark, share and innovate.
We welcome you to explore the event and see you at the event.
Summit at glance
Explore the 2025 Schedule
Data Innovation Summit is constructed so it equally addresses all the elements of data-driven and AI-ready business: data, people, processes and technology. The event is built to be both business and technical, practical and inspirational, realistic and futuristic, educational and exciting, regional and global, live and digital, general and niched, inspiring and influential. It is showcasing some of the best data-driven innovative projects, products, business ideas and technologies, presented by some of the world’s most advanced and innovative organisations in the world.
Explore the sessions and build you own schedule based on topics and sessions you would like attend across all stages, workshops, days.
Find out everything about the Summit – delivered in one simple PDF Agenda
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 on deploying, running, and scaling both applied and generative AI models in an Enterprise. Sessions cover customizing AI with proprietary data, datacentric vs. model-centric approaches, and MLOps for AI reproducibility. Key topics include transformers, AutoML, model drift, and ethical AI governance, ensuring robust and responsible AI deployment.
This stage focuses on designing scalable and resilient data pipelines crucial for enterprise AI and ML. Key topics include building high-availability systems, scalable MLOps pipelines, and optimizing data pipelines for foundation models. Focus on data curation, distributed computing, serverless architectures, and advanced techniques for metadata management and data quality in LLM training.
This stage focuses on aligning Data Science and AI with core business objectives, covering strategies to avoid common pitfalls and manage expectations. Key topics include building scalable DS/AI infrastructure, measuring AI impact, balancing innovation with risk, and ensuring proper integration with existing systems. Focus on AI governance, cost management, accountability, and cross-functional collaboration for successful DS/AI implementation.
On this stage, we are showcasing expert-led technical presentations that delve into innovative strategies for managing enterprise databases, ensuring data remains accurate, consistent, and reliable at all times. These sessions will also highlight the pivotal role of effective data quality management in paving the way for successful analytics and AI applications.
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 channel.
Data After Dark The Data Innovation Summit Party
What is a great event without a great party? After the official end of the first summit day, this year again we are organizing 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 and will last until 00:00 CET. Refreshments and finger food can be found in several locations in the expo area.
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.
Meet the 2025 Speakers
Data Innovation Summit speakers dive directly into the topic and focus on the key learning points. Listen to case studies from the best and most innovative names in the industry.
The most influential speakers, right here, from around the world, ready to share their expertise.
That’s right – the most influential speakers, sharing practical strategies and exclusive secrets, with proven ROI!
Henrik Göthberg
Founder/CEO | Dairdux
Introducing Henrik Göthberg – 10 years leading biz-tech teams, Founder/CEO of Dairdux, and resident chairman of The Data Innovation Summit. He’s the ultimate community builder, podcast co-host and brings data and AI to the forefront of biz innovation!
Our 2025 Keynote Speaker
Our 2025 Keynote Speaker
Our 2025 Stage Moderators
Our 2025 Stage Moderators
Our 2025 Speakers
Our 2025 Speakers
Early Bird Ticket prices expire in:
your ticket is the key to all dis has to offer – hybrid, knowledge, networking and more
Meet our 2025 Partners and Exhibitors
Event Co-Host Partner
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2025 Partners and Exhibitors
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Our 2025 Media Partners
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Our 2025 Venue Partners
Pictures
All pictures from Data Innovation Summit 2024 can be found here
DIS 2025 made possible by
Agorify
Agorify is a self-service platform for building engaging online and onsite event applications. Through Agorify, delegates will be able to set up their profiles, browse through the schedule, build their own agenda, view live or on-demand presentations, comment, ask questions, vote for favourite questions, take notes, join or create chat discussions, join virtual roundtables, connect with other attendees, schedule meetings, share contacts and much more.
