Explore the 2025 Stages
Learn more about the stages
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.
Stage Partner
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.
Stage Partner
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.
Stage Partner
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.
Stage Partner
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 23:00 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.
Browse the Data Innovation Summit 2025 Schedule
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