8:00 AM

9:00 AM

Registration Opens

8:30 AM

8:40 AM

Welcoming Notes and Orientation
[P1] - Plenum

8:40 AM

9:00 AM

Chairman’s Opening Remarks

Henrik Göthberg

Founder and CEO, Dairdux

[P1] - Plenum

9:00 AM

9:20 AM

Future Outlook Session | A dialogue between Erik Slottner and Kye Andersson

Erik Slottner

Minister for Public Administration, Regeringskanslie

Kye Andersson

Chief Product Officer & Co-Founder, Canucci

[P1] - Plenum

9:20 AM

9:40 AM

KEYNOTE | Building an AI-Driven Enterprise: Strategies for Integrating AI Agents Across Business Functions
[P1] - Plenum

9:45 AM

10:05 AM

KEYNOTE | Transformative Data Platforms: Navigating the Shift from Traditional systems to Modern Data Ecosystem
[P1] - Plenum

10:05 AM

10:25 AM

Networking Coffee & Peer-to-Peer Meetings

10:30 AM

10:40 AM

Moderator's Opening Remarks

Lotte Ansgaard Thomsen

Associate Professor, Aalborg University

[M1] - Machine Learning & Generative AI Stage

10:30 AM

10:40 AM

Moderator's Opening Remarks

Albin Blum

Data Enthusiast and Co-Founder, Theodora Tech

[M2] - Data Engineering & DataOps Stage

10:30 AM

10:40 AM

Moderator's Opening Remarks

Daniel Tidström

Partner & Management Consultant, Data Edge

[M3] - Modern Data Platform Stage

10:30 AM

10:40 AM

Moderator's Opening Remarks

Karima Makrof

Data Governance and Management Leader

[M4] - Modern Data Strategy Stage

10:30 AM

10:40 AM

Moderator's Opening Remarks

Dácil Hernández

Head of Data and AI, Stena AB

[M5] - Analytics Stage

10:30 AM

10:40 AM

Moderator's Opening Remarks
[M6] - Data Science/AI Value & Strategy Stage

10:30 AM

10:40 AM

Moderator's Opening Remarks

Niko Kivelä

Head of DevOps , SOK (S Group)

[M7] - Developer Stage

10:30 AM

10:40 AM

Moderator's Opening Remarks

Giovanni Leoni

AI Ethics Expert, /

[M8] - Impact Stage

10:30 AM

10:40 AM

Moderator's Opening Remarks

Stefan Wendin

Head of AI , Tyréns

[M9] - Databases & Data Quality Stage

10:40 AM

11:00 AM

Enterprise AI requires robust, scalable and trusted models that understand your business

Christopher Royles

CTO, EMEA, Cloudera

Philippe Lanckvrind

Principal Solutions engineer , Cloudera

[M1] - Machine Learning & Generative AI Stage

10:40 AM

11:00 AM

Designing Scalable and Resilient Data Pipelines: Core Principles and Best Practices
[M2] - Data Engineering & DataOps Stage

10:40 AM

11:00 AM

Building a Modern Data Platform: Key Components and Best Practices
[M3] - Modern Data Platform Stage

10:40 AM

11:00 AM

Federated Data Management Strategies for Managing Decentralized Data Sources
[M4] - Modern Data Strategy Stage

10:40 AM

11:00 AM

How to go beyond data-driven insights to embrace decision-centric practices
[M5] - Analytics Stage

10:40 AM

11:00 AM

Aligning Generative AI Initiatives with Core Business Objectives: A Strategic Approach
[M6] - Data Science/AI Value & Strategy Stage

10:40 AM

11:00 AM

Breaking Down AI Requirements: Translating Business Needs into Technical Specifications
[M7] - Developer Stage

10:40 AM

11:00 AM

Data Management: The Unsung Hero of the GenAI Revolution

Steve Holyer

Cloud Specialist and Team Leader, Informatica

[M8] - Impact Stage

10:40 AM

11:00 AM

How Are Graph Databases Revolutionizing Network Analysis and Machine Learning?
[M9] - Databases & Data Quality Stage

11:10 AM

11:30 AM

Gen AI solutions for personalised photorealistic AI replicas and AI dubbing

Prof Dr Maja Pantic

Special AI Advisor to Neom, former GenAI Research Director at Meta, Meta

[M1] - Machine Learning & Generative AI Stage

11:10 AM

11:30 AM

Set Data and ML Pipeline with GitHub Actions

Rami Krispin

Senior Manager – Data Science and Engineering, Apple

[M2] - Data Engineering & DataOps Stage

11:10 AM

11:30 AM

Data Ingestion Strategies for Modern Data Platforms
[M3] - Modern Data Platform Stage

11:10 AM

11:30 AM

Why do data transformations fall apart when the leader leaves?

Caroline Carruthers

Chief Executive, Carruthers and Jackson

[M4] - Modern Data Strategy Stage

11:10 AM

11:30 AM

Brewing the future: HEINEKEN’s Journey to Becoming the Best-Connected, Data-Driven Brewer

Kieran O’Driscoll

Head of Data & Analytics (Africa & Middle East) , HEINEKEN

[M5] - Analytics Stage

11:10 AM

11:30 AM

Learnings from building a Center of Excellence of AI at GlobalConnect

Anders Arpteg

Senior Director, GlobelConnect

[M6] - Data Science/AI Value & Strategy Stage

11:10 AM

11:30 AM

From Big Data to Big Insights: Building Scalable Systems for Actionable Intelligence

Dmytro Basan

Engineering Manager, Klarna

[M7] - Developer Stage

11:10 AM

11:30 AM

Applied Data & AI Innovation Case Study - Public Sector
[M8] - Impact Stage

11:10 AM

11:30 AM

Beyond Schema Validation: Building Trust in Your Real-time Data Pipeline

Tulika Bhatt

Senior Software Engineer, Netflix

[M9] - Databases & Data Quality Stage

11:40 AM

12:00 PM

Data-Centric Approach vs Model-Centric Approach in Machine Learning
[M1] - Machine Learning & Generative AI Stage

11:40 AM

12:00 PM

Designing Scalable MLOps Pipelines for Reproducible Experimentation
[M2] - Data Engineering & DataOps Stage

11:40 AM

12:00 PM

Transforming Data with Cloud ETL: Accelerating Insights
[M3] - Modern Data Platform Stage

11:40 AM

12:00 PM

Why AI without a solid data foundation is just a complete distraction

Chris Lowe

Senior Solutions Consultant, Reltio

[M4] - Modern Data Strategy Stage

11:40 AM

12:00 PM

How can augmented analytics empower business users with AI driven insights?
[M5] - Analytics Stage

11:40 AM

12:00 PM

AI Powered Engineering and Manufacturing

Joakim Lindholm

Managing Director – Germany, Nordics, Benelux and Austria, Altair

[M6] - Data Science/AI Value & Strategy Stage

11:40 AM

12:00 PM

Deploying AI at Scale: Flexible, Scalable, and Cost-Effective Solutions for Dynamic Environments

Adam Dagnall

Senior SE Director EMEA , Cloudian

[M7] - Developer Stage

11:40 AM

12:00 PM

Applied Data & AI Innovation Case Study - Industry
[M8] - Impact Stage

11:40 AM

12:00 PM

How Can Time Series Databases Optimize IoT Data Management and Predictive Analytics?
[M9] - Databases & Data Quality Stage

12:10 PM

12:30 PM

Preventing Model Degradation Through Effective Fine-Tuning and Retraining Strategies
[M1] - Machine Learning & Generative AI Stage

12:10 PM

12:30 PM

Orchestration Tools for AI and ML Pipeline Management
[M2] - Data Engineering & DataOps Stage

12:10 PM

12:30 PM

Data Orchestration and Automation in Modern Data Platforms
[M3] - Modern Data Platform Stage

12:10 PM

12:30 PM

Developing Data Products as Strategic Assets in Data-Driven Organizations
[M4] - Modern Data Strategy Stage

12:10 PM

12:30 PM

How is real time analytics transforming data into instant business value?
[M5] - Analytics Stage

12:10 PM

12:30 PM

How Can Companies Ensure Proper Integration Of Ai With Existing Systems
[M6] - Data Science/AI Value & Strategy Stage

12:10 PM

12:30 PM

Streamlining Fast Integration Processes in DevOps Environments
[M7] - Developer Stage

12:10 PM

12:30 PM

Applied Data & AI Innovation Case Study - Public Sector
[M8] - Impact Stage

12:10 PM

12:30 PM

Implementing a Data Governance Framework using Data Products

Damien Julliard

Data Management & Governance Lead, IAG Loyalty

[M9] - Databases & Data Quality Stage

12:30 PM

12:50 PM

KEYNOTE | Data Product Thinking is the Key to Unlocking Business Innovation

Stephen Brobst

CTO , Ab Initio Software

[P1] - Plenum

12:50 PM

1:40 PM

Networking Lunch

1:40 PM

2:00 PM

AI in Space: How NASA is Building Resilient AI for Moon, Mars and Beyond

Shreyansh Daftry

AI Research Scientist and Group Leader, NASA Jet Propulsion Laboratory

[M1] - Machine Learning & Generative AI Stage

1:40 PM

2:00 PM

The only way to enforce best practices is to offer them out of the box: HelloFresh's data engineering framework

Max Schultze

Director of Data Engineering, HelloFresh

[M2] - Data Engineering & DataOps Stage

1:40 PM

2:00 PM

The Cloud Economics of Connected Appliances

Kristina Kondrashevich

SRE Product Manager, Electrolux Group

[M3] - Modern Data Platform Stage

1:40 PM

2:00 PM

Bridging the Gap: Aligning Technical and Non-Technical Analytics Teams for Better Data Outcomes

Jonas Dieckmann

Global Manager Data Intelligence, Philips

[M4] - Modern Data Strategy Stage

1:40 PM

2:00 PM

Elevating Insights: How Data Science Drives Predictive Analytics at KONE

Terhi Markkanen

Head of Data & Analytics, R&D, KONE

[M5] - Analytics Stage

1:40 PM

2:00 PM

How to create an Agile AI Innovation center and strategy that delivers measurable business value

David Dadoun

VP Data, Analytics and IT Innovation, BRP

[M6] - Data Science/AI Value & Strategy Stage

1:40 PM

2:00 PM

The Power of Developer Feedback: Real Insights From Our Developer Experience Survey at VELUX

Emma Dahl Jeppesen

Platform Advocate , VELUX

[M7] - Developer Stage

1:40 PM

2:00 PM

From Policy to Practice: Bridging Compliance for the AI Act through European Standards

Patric Ridell

Project Manager, Swedish Institute for Standards

[M8] - Impact Stage

1:40 PM

2:00 PM

TBA

Lennart Hedlund

Enterprise Architect, Svenska Handelsbanken

[M9] - Databases & Data Quality Stage

2:10 PM

2:30 PM

Testing and Validating AI Models: Frameworks for Reliable Deploymen
[M1] - Machine Learning & Generative AI Stage

2:10 PM

2:30 PM

The Impossible Data Mesh

William Smedberg

Portfolio Manager – AI & Automation, Sandvik Group

[M2] - Data Engineering & DataOps Stage

2:10 PM

2:30 PM

Data Storage Solutions: Choosing Between Data Lakes, Warehouses, and Lakehouses
[M3] - Modern Data Platform Stage

2:10 PM

2:30 PM

Evolving Data Architectures: Integrating Real-Time and Batch Processing
[M4] - Modern Data Strategy Stage

2:10 PM

2:30 PM

How does edge analytics bring computation closer to data sources?
[M5] - Analytics Stage

2:10 PM

2:30 PM

Building a Scalable AI Infrastructure Roadmap for Enterprise-Wide Deployment
[M6] - Data Science/AI Value & Strategy Stage

2:10 PM

2:30 PM

Designing for Scale: Architecting AI-Powered Systems from the Ground Up
[M7] - Developer Stage

2:10 PM

2:30 PM

Avoiding agentic mess with Data Products and Knowledge Graphs

Andrea Gioia

Partner & CTO, Quantyca

Mauro Luchetti

Artificial Intelligence CoE Leader, Quantyca

[M8] - Impact Stage

2:10 PM

2:30 PM

What Strategies Can Optimize Data Lakes for Advanced Analytics and AI Training?
[M9] - Databases & Data Quality Stage

2:40 PM

3:00 PM

Implementing Monitoring Workflows for Machine Learning Models in Production
[M1] - Machine Learning & Generative AI Stage

2:40 PM

3:00 PM

Quality-Driven Data Engineering: Techniques for Reducing Bias and Noise in LLM Training Data
[M2] - Data Engineering & DataOps Stage

2:40 PM

3:00 PM

Advanced Data Observability Techniques for Ensuring Pipeline Reliability and Performance
[M3] - Modern Data Platform Stage

2:40 PM

3:00 PM

How Landsbankinn de-siloed a legacy data landscape on their path to data democratisation

Sylvain Dutilh

Principal BI Administrator , Landsbankinn

[M4] - Modern Data Strategy Stage

2:40 PM

3:00 PM

What are the benefits of cloud native analytics in achieving scalability and flexibility?
[M5] - Analytics Stage

2:40 PM

3:00 PM

Balancing Innovation and Risk Management in Generative AI Implementation
[M6] - Data Science/AI Value & Strategy Stage

2:40 PM

3:00 PM

Securing AI APIs: Protecting Your Models from Exploits and Abuse
[M7] - Developer Stage

2:40 PM

3:00 PM

Edge AI in Action: Empowering Smart Devices and Connected Physical Products

Joakim Eriksson

Senior Researcher and Unit Manager, RISE Research Institutes of Sweden

[M8] - Impact Stage

2:40 PM

3:00 PM

How Can Knowledge Graphs Enhance Data Integration for Advanced Analytics and AI?
[M9] - Databases & Data Quality Stage

3:10 PM

3:35 PM

Networking Coffee & Peer-to-Peer Meetings

3:40 PM

4:05 PM

Technology in Practice | Round 1

4:10 PM

4:30 PM

From 1 billion to 1 million: scaling down model size when the quality bar is high

Judith Bütepage

Research lead, SEED – Electronic Arts

[M1] - Machine Learning & Generative AI Stage

4:10 PM

4:30 PM

Uncover the inherited biases of AI and how we can fix it

Gabrielle Dolinder

Data Engineer, Swedish Space Corporation

[M2] - Data Engineering & DataOps Stage

4:10 PM

4:30 PM

Zero-touch logistics require awesome data: How Maersk is building its data platform

Micha Ben Achim Kunze

Principal Data Engineer, Maersk

Christian Palmhøj Nielsen

Lead Software Engineer, Maersk

[M3] - Modern Data Platform Stage

4:10 PM

4:30 PM

The CDO’s Imperative: 3 Moves Shaping Electrolux Group’s Data & AI Future

George Linton

Chief Data Officer, Electrolux Group

[M4] - Modern Data Strategy Stage

4:10 PM

4:30 PM

TBA

Maria Ana Liz

Head of D&A Self Service, Ericsson

[M5] - Analytics Stage

4:10 PM

4:30 PM

Moonshot Innovation in AI

Yngvar Ugland

Colonel of Moonshots & Head of DNB NewTechLab, DNB Bank ASA

[M6] - Data Science/AI Value & Strategy Stage

4:10 PM

4:30 PM

Evolving Feedback Loops in DevOps: Past, Present, and Future Innovations for Accelerated Product Development

Niko Kivelä

Head of DevOps , SOK (S Group)

[M7] - Developer Stage

4:10 PM

5:00 PM

Panel | The Nordic Debate on AI: Responsible Development and Use of AI While Enabling AI Adoption in the Nordics

Giovanni Leoni

AI Ethics Expert, /

Jeanette Nilsson

AI Ecosystem Expert , RISE Research Institutes of Sweden

Iida Lähdemäki

COO , AI Finland

Kai Zenner

Head of Office and Digital Policy Adviser for MEP Axel Voss, European Parliament

[M8] - Impact Stage

4:10 PM

4:30 PM

From (Graph) RAGs to (Agentic) Riches

Stefan Wendin

Head of AI , Tyréns

[M9] - Databases & Data Quality Stage

4:40 PM

5:00 PM

Evaluating Large Language Models: Metrics, Methods, and Best Practices

Wenjie Zi

Senior machine learning engineer, Grammarly

[M1] - Machine Learning & Generative AI Stage

4:40 PM

5:00 PM

Handling Big Data Without Big Problems: Designing Scalable Web Architectures for Complex Data

Becki Wordsworth

Engineering Manager , Flightradar24

[M2] - Data Engineering & DataOps Stage

4:40 PM

5:00 PM

The Latest Performance Innovations in SQL Server: On-Premises and in the Cloud

Ola Hallengren

Chief Data Platforms Engineer, Saxo Bank

[M3] - Modern Data Platform Stage

4:40 PM

5:00 PM

Data Risk Reduction

Martin Clough

Technology Lead, Swedbank

[M4] - Modern Data Strategy Stage

4:40 PM

5:00 PM

How can ethical AI ensure fairness and transparency in predictive models?
[M5] - Analytics Stage

4:40 PM

5:00 PM

Unlock the Power of Large Language Models in Supply Chain Management

Frank Giroux

Mgr Digital transformation SCM, Bayer

[M6] - Data Science/AI Value & Strategy Stage

4:40 PM

5:00 PM

Machine Learning in Observability systems: From Insights to Action

Panos Tsilopoulos

Director, Observability Platform Engineering, Nike, Inc.

[M7] - Developer Stage

4:40 PM

5:00 PM

Enable life-cycle sustainability assessment with the BONSAI ontology

Fan Yang

Postdoctoral researcher , Aalborg University

[M9] - Databases & Data Quality Stage

5:20 PM

6:00 PM

Expo Crawl

6:00 PM

12:00 AM

Social Program | Data after Dark