Introduction

Christian Helgesson,
VD,
Ny Teknik Education

Tobias Eriksson,
Moderator,
EFESO

Magnus Aschan,
Moderator,
Teknikministeriet

When the world fractures: Why the next AI vision must be Nordic

Catherine Mulligan
Managing Director,
New Nordics AI

Catherine Mulligan is the Managing Director of New Nordics AI, where she leads the development of a distinctly Nordic approach to artificial intelligence grounded in trust, resilience, and real-world impact. With over 15 years’ experience spanning applied research, industry collaboration, and policy-relevant innovation, Catherine works at the intersection of technology, geopolitics, and societal transformation.

In a time of accelerating global fragmentation, she brings a clear-eyed and provocative perspective on how the Nordics can move from rule-takers to rule-shapers in the next era of AI.

From Predictive to Generative: How large-scale industrial AI models reshape design, production, and maintenance

The New Industrial Intelligence – How AI is shaping the Next-Gen Factory

Hugo Nordell,
CEO,
EnCube

Digital Twins 2.0: When Virtual Meets Physical

Tua Asplund Hyllienmark,
EMEA Product Specialist Omniverse,
Nvidia Omniverse

Exploring how advanced digital twins and simulations can be integrated with physical systems to optimize processes safely and efficiently. The session highlights virtual testing and simulation as tools to improve performance, reduce risk, and enhance industrial operations without disrupting production.

Building the AI Factory: Scaling People, Processes, and Platforms

Sara Björk,
Group CIO,
Nobia

Sara Björk, Group CIO at Nobia, shares insights from the development and operation of Nobia Park, a next-generation, fully automated kitchen factory, highlighting lessons learned in sustainability, quality, and digitalization. The session explores the factory’s role as a hub for innovation, flexible production, and logistics, and outlines next steps for advancing efficiency, customization, and long-term competitiveness in modern manufacturing.

Industrial Data Ecosystems – Connected Data, Collaborative Industry

Oskar Eriksson
Senior Solution Engineer and Data Scientist,
Snowflake

• Data ingestion and data platforms
• Processing, analytics, and modeling
• From insights to scalable data and AI applications
• Collaboration and sharing within data ecosystems

Transforming Product Data into Scalable Services

Hans Troiza
Chief Technology Officer – Digital,
Alfa Laval

Hans Troiza is the Chief Technology Officer – Digital at Alfa Laval, where he drives the company’s digital strategy, technology transformation, and AI innovation. With more than two decades in technology leadership, he combines deep engineering expertise with a clear vision for scaling digital and AI-driven change across global operations.

At Alfa Laval, Hans established the company’s AI Centre of Excellence, embedding responsible-AI frameworks, governance, and practical industrial use cases throughout the organization. His technical depth and broad business perspective enable him to bridge engineering, technology, and commercial leadership—showing how industrial companies can move beyond hype to real business value through AI and digital transformation.

Next wave of Alleima Gen AI applications – scaling of the Alleima Guru

Tom Eriksson,
Executive Vice-President and Head of Strategic Research,
Alleima

Alleima Guru is trained on decades of research reports enables faster access to complex material data, summarizes insights, and proposes new hypotheses for researchers to explore. By combining domain expertise with secure AI infrastructure, the tool accelerates knowledge sharing, preserves institutional know-how, and supports innovation across advanced material development.

Accelerating Industrial AI and automation in mining with Boliden Edge Lab

Rasmus Tammia,
R&D Program Manager – AI in Mining,
Boliden,

The session will explore the origins of Boliden Edge Lab and why it was a crucial step for Boliden in accelerating its AI journey. It will highlight how the lab enables R&D activities in AI for process control and mine automation applications.

Rasmus Tammia is R&D Program Manager for Artificial Intelligence at Boliden, where he leads AI initiatives in process control and mine automation and oversees the company’s AI project portfolio. He works with cross-functional teams spanning data science, control engineering, and cloud-native software to turn emerging technologies into practical improvements for mining operations. Rasmus also represents Boliden in national and international forums focused on AI, cloud computing, and advanced connectivity.

Predict, Prevent, Perform: AI in Maintenance and Reliability

Panel: Loss-Centric AI Roadmaps – Driving Efficiency, Sustainability, and Value

Fredrik Perdahl
Technology Strategy & Product Leadership
Scania / TRATON Group

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Industrial companies manage some of the world’s most complex physical systems, where real-time decisions span factories, fleets, warehouses, and supply chains. In this panel, industry leaders discuss how they use industrial AI, digital twins, and physical AI to move from isolated optimizations to end-to-end industrial intelligence. The session highlights practical experiences, challenges, and lessons learned in scaling AI—focusing on loss reduction, operational resilience, safety, and sustainability.

Smart Supply Chains: AI-Driven Resilience and Optimization

Governance, Explainability and Trust in Industrial AI

Building the Next Industrial AI Ecosystem

Machines That Learn: The Rise of Physical AI

Sami Heinonen,
Head of Studio,
Younite AI

Next-generation machinery will be trained in physically realistic simulations before deployment, enabling faster, safer, and more efficient skill development. Techniques such as reinforcement learning and human imitation allow robots to master complex tasks in virtual environments, creating a foundation for robust, real-world performance.

The Future of Physical Intelligence: The Cognitive Factory

Conference ending