Chairman’s Opening Remarks

8:40 AM

9:00 AM

Henrik Göthberg

Founder and CEO, Dairdux

9:00 AM

9:20 AM

Future Outlook Session

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

9:20 AM

9:40 AM

KEYNOTE | Transformative Data Platforms: Navigating the Shift from Traditional systems to Modern Data Ecosystem

9:45 AM

10:05 AM

Networking Coffee & Peer-to-Peer Meetings

10:05 AM

10:25 AM

10:30 AM

10:40 AM

Lotte Ansgaard Thomsen

Associate Professor, Aalborg University

10:30 AM

10:40 AM

Albin Blum

Data Enthusiast and Co-Founder, Theodora Tech

10:30 AM

10:40 AM

Daniel Tidström

Partner & Management Consultant, Data Edge

10:30 AM

10:40 AM

10:30 AM

10:40 AM

10:30 AM

10:40 AM

10:30 AM

10:40 AM

Niko Kivelä

Head of DevOps , SOK (S Group)

10:30 AM

10:40 AM

Giovanni Leoni

Global Head of AI Governance Advisory, Credo AI

10:30 AM

10:40 AM

Stefan Wendin

Head of AI , Tyréns

Harnessing the Power of AI Through Foundation Models for Enterprise Applications

10:40 AM

11:00 AM

Designing Scalable and Resilient Data Pipelines: Core Principles and Best Practices

10:40 AM

11:00 AM

Building a Modern Data Platform: Key Components and Best Practices

10:40 AM

11:00 AM

Federated Data Management Strategies for Managing Decentralized Data Sources

10:40 AM

11:00 AM

How to go beyond data-driven insights to embrace decision-centric practices

10:40 AM

11:00 AM

Aligning Generative AI Initiatives with Core Business Objectives: A Strategic Approach

10:40 AM

11:00 AM

Breaking Down AI Requirements: Translating Business Needs into Technical Specifications

10:40 AM

11:00 AM

Applied Data & AI Innovation Case Study - Industry

10:40 AM

11:00 AM

How Are Graph Databases Revolutionizing Network Analysis and Machine Learning?

10:40 AM

11:00 AM

Gen AI solutions for personalised photorealistic AI replicas and AI dubbing

11:10 AM

11:30 AM

Maja Pantic

Generative AI Research Director, Meta

Set Data and ML Pipeline with GitHub Actions

11:10 AM

11:30 AM

Rami Krispin

Senior Manager – Data Science and Engineering, Apple

Data Ingestion Strategies for Modern Data Platforms

11:10 AM

11:30 AM

Why do data transformations fall apart when the leader leaves?

11:10 AM

11:30 AM

Caroline Carruthers

Chief Executive, Carruthers and Jackson

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

11:10 AM

11:30 AM

Kieran O’Driscoll

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

Learnings from building a Center of Excellence of AI at GlobalConnect

11:10 AM

11:30 AM

Anders Arpteg

Senior Director, GlobelConnect

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

11:10 AM

11:30 AM

Dmytro Basan

Engineering Manager, Klarna

Controlling Generative AI in Chatbots: From Hallucinations to Business Decisions

11:10 AM

11:30 AM

Stephen Alstrup

Professor in Algorithms, University of Copenhagen

What Role Do Vector Databases Play in Advancing AI and Similarity Search Applications?

11:10 AM

11:30 AM

Data-Centric Approach vs Model-Centric Approach in Machine Learning

11:40 AM

12:00 PM

Designing Scalable MLOps Pipelines for Reproducible Experimentation

11:40 AM

12:00 PM

Transforming Data with Cloud ETL: Accelerating Insights

11:40 AM

12:00 PM

Data Lakehouse Design: Combining Flexibility with Performance

11:40 AM

12:00 PM

How can augmented analytics empower business users with AI driven insights?

11:40 AM

12:00 PM

What Strategies Can Be Used To Manage Unrealistic Expectations About Ai?

11:40 AM

12:00 PM

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

11:40 AM

12:00 PM

Adam Dagnall

Senior SE Director EMEA , Cloudian

Applied Data & AI Innovation Case Study - Industry

11:40 AM

12:00 PM

How Can Time Series Databases Optimize IoT Data Management and Predictive Analytics?

11:40 AM

12:00 PM

Preventing Model Degradation Through Effective Fine-Tuning and Retraining Strategies

12:10 PM

12:30 PM

Orchestration Tools for AI and ML Pipeline Management

12:10 PM

12:30 PM

Data Orchestration and Automation in Modern Data Platforms

12:10 PM

12:30 PM

Developing Data Products as Strategic Assets in Data-Driven Organizations

12:10 PM

12:30 PM

How is real time analytics transforming data into instant business value?

12:10 PM

12:30 PM

How Can Companies Ensure Proper Integration Of Ai With Existing Systems

12:10 PM

12:30 PM

Streamlining Fast Integration Processes in DevOps Environments

12:10 PM

12:30 PM

Applied Data & AI Innovation Case Study - Public Sector

12:10 PM

12:30 PM

How Are Columnar Databases Enhancing Big Data Analytics Performance?

12:10 PM

12:30 PM

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

12:30 PM

1:30 PM

Networking Lunch

1:40 PM

2:00 PM

Shreyansh Daftry

AI Research Scientist and Group Leader, NASA Jet Propulsion Laboratory

1:40 PM

2:00 PM

Max Schultze

Associate Director of Data Engineering, HelloFresh

The Cloud Economics of Connected Appliances

1:40 PM

2:00 PM

Kristina Kondrashevich

SRE Product Manager, Electrolux Group

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

1:40 PM

2:00 PM

Jonas Dieckmann

Global Manager Data Intelligence, Philips

Elevating Insights: How Data Science Drives Predictive Analytics at KONE

1:40 PM

2:00 PM

Terhi Markkanen

Head of Data & Analytics, R&D, KONE

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

1:40 PM

2:00 PM

David Dadoun

VP Data, Analytics and IT Innovation, BRP

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

1:40 PM

2:00 PM

Emma Dahl Jeppesen

Platform Advocate , VELUX

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

1:40 PM

2:00 PM

Patric Ridell

Project Manager, Swedish Institute for Standards

1:40 PM

2:00 PM

Lennart Hedlund

Enterprise Architect, Svenska Handelsbanken

Testing and Validating AI Models: Frameworks for Reliable Deploymen

2:10 PM

2:30 PM

Improving Accuracy of Retrieval-Augmented Generation (RAG) Models through Enhanced Data Curation

2:10 PM

2:30 PM

Data Storage Solutions: Choosing Between Data Lakes, Warehouses, and Lakehouses

2:10 PM

2:30 PM

Evolving Data Architectures: Integrating Real-Time and Batch Processing

2:10 PM

2:30 PM

How does edge analytics bring computation closer to data sources?

2:10 PM

2:30 PM

Building a Scalable AI Infrastructure Roadmap for Enterprise-Wide Deployment

2:10 PM

2:30 PM

Designing for Scale: Architecting AI-Powered Systems from the Ground Up

2:10 PM

2:30 PM

From Constraint to Catalyst: Transforming EU AI Regulations into Innovation Drivers

2:10 PM

2:30 PM

What Strategies Can Optimize Data Lakes for Advanced Analytics and AI Training?

2:10 PM

2:30 PM

Implementing Monitoring Workflows for Machine Learning Models in Production

2:40 PM

3:00 PM

Quality-Driven Data Engineering: Techniques for Reducing Bias and Noise in LLM Training Data

2:40 PM

3:00 PM

Advanced Data Observability Techniques for Ensuring Pipeline Reliability and Performance

2:40 PM

3:00 PM

Designing and Managing Data Ecosystems for Cross-Organizational Collaboration and Innovation

2:40 PM

3:00 PM

What are the benefits of cloud native analytics in achieving scalability and flexibility?

2:40 PM

3:00 PM

Balancing Innovation and Risk Management in Generative AI Implementation

2:40 PM

3:00 PM

Securing AI APIs: Protecting Your Models from Exploits and Abuse

2:40 PM

3:00 PM

The AI Governance Blueprint: Unlocking Innovation Through Responsible AI Governance

2:40 PM

3:00 PM

How Can Knowledge Graphs Enhance Data Integration for Advanced Analytics and AI?

2:40 PM

3:00 PM

Networking Coffee & Peer-to-Peer Meetings

3:10 PM

3:35 PM

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

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

4:10 PM

4:30 PM

Gabrielle Dolinder

Data Engineer, Swedish Space Corporation

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

4:10 PM

4:30 PM

Micha Ben Achim Kunze

Lead Data Engineer , Maersk

Christian Palmhøj Nielsen

Lead Software Engineer, Maersk

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

4:10 PM

4:30 PM

George Linton

Chief Data Officer, Electrolux Group

4:10 PM

4:30 PM

Maria Ana Liz

Head of D&A Self Service, Ericsson

Moonshot Innovation in AI

4:10 PM

4:30 PM

Yngvar Ugland

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

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

4:10 PM

4:30 PM

Niko Kivelä

Head of DevOps , SOK (S Group)

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

4:10 PM

5:00 PM

From (Graph) RAGs to (Agentic) Riches

4:10 PM

4:30 PM

Stefan Wendin

Head of AI , Tyréns

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

4:40 PM

5:00 PM

Wenjie Zi

Senior machine learning engineer, Grammarly

4:40 PM

5:00 PM

Becki Wordsworth

Engineering Manager , Flightradar24

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

4:40 PM

5:00 PM

Ola Hallengren

Chief Data Platforms Engineer, Saxo Bank

4:40 PM

5:00 PM

Data Risk Reduction

Martin Clough

Technology Lead, Nordea

How can ethical AI ensure fairness and transparency in predictive models?

4:40 PM

5:00 PM

Unlock the Power of Large Language Models in Supply Chain Management

4:40 PM

5:00 PM

Frank Giroux

Mgr Digital transformation SCM, Bayer

Machine Learning in Observability systems: From Insights to Action

4:40 PM

5:00 PM

Panos Tsilopoulos

Director, Observability Platform Engineering, Nike, Inc.

Enable life-cycle sustainability assessment with the BONSAI ontology

4:40 PM

5:00 PM

Fan Yang

Postdoctoral researcher , Aalborg University