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

Evelina Anttila
Founder & CEO,
Nordan AI

The imperative for AI in hardware development

Hugo Nordell,
Co-founder & CEO,
Encube

In this session Hugo Nordell, co-founder and CEO of Encube, makes the case for where AI actually needs to land to matter in hardware development, anchored in the KPIs the industry lives by; time-to-market, marginal cost and engineering productivity. Hugo spent close to a decade in senior roles at Sandvik and Aker Group before founding Encube. He saw firsthand how collapsing product life cycles, rising development costs and a widening talent gap are putting hardware companies under enormous pressure, while the software meant to support them hasn’t kept up.

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

Maria Erman
AI/ML Product Manager and Architect,
TRATON Group / Scania

Physical AI: 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.

Building embedded Industrial Intelligence through Culture, Community, and Learning-by-doing

Mats Elmgart
Head of Analytics,
Volvo Construction Equipment

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.

Panel: Loss-Centric AI Roadmaps – Driving Efficiency, Sustainability, and Value in the Supply Chain

Fredrik Perdahl
Technology Strategy & Product Leadership
Scania / TRATON Group

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Linnea van Lokhorst
Vice President, Operations EMEA
Einride

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, logistics, operational resilience, safety, and sustainability.

Mission-critical climate control equipment and how Industrial AI makes it smarter

Fredrik Raak
AI Engineer Specialist
Munters

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Magnus Carlsson
R&D Director Physics, Modelling & Calculation
Munters

Munters manufactures equipment and solutions for data center cooling, food production, and humidity control. Not only do our systems cool the critical computing infrastructure behind large scale AI, but we’ve also started embedding AI into our products to deliver greater performance and energy efficiency.

How AI is transforming the pharmaceutical industry

Professor Ola Engkvist,
Head of Molecular AI | Adjunct Professor
AstraZeneca | Chalmers University of Technology

Ola Engkvist, PhD, is Executive Director and Head of Molecular AI within Discovery Sciences at AstraZeneca R&D, where he leads the development and application of machine learning and artificial intelligence to accelerate drug design. He has published over 180 peer-reviewed scientific articles and is an ELLIS fellow at the European Laboratory for Learning and Intelligent Systems and a 2025 Clarivate Highly Cited Researcher. He holds an adjunct professorship in machine learning and AI for drug design at Chalmers University of Technology, serves as a Trustee of the Cambridge Crystallographic Data Centre, and is recognized for his work in pharmaceutical innovation.

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

Thomas Johansson,
Sales Manager – Nordics,
ABB Robotics

The factory of the future is becoming more adaptive, intelligent, and capable of operating in complex real-world environments through a shift from traditional automation to more cognitive, self-learning systems where robotics, AI, and data work together in real time.

Conference ending