Energy Roundtable: Building foundations for AI in the energy sector

On 11 June 2026, Lumina hosted an Energy Roundtable at Netlight's Copenhagen office together with Netlight and Spirii.

The evening brought together people from across the energy sector for networking, knowledge sharing, and open discussion on how organisations are building the foundations, architecture, security, and operational capabilities needed to scale AI successfully.

Energy Roundtable panel discussion

Keynote: Building for AI

The programme opened with a keynote from Emilie Lundblad. Emilie shared practical insights into what it takes to build for AI and agents: from technical foundation and data infrastructure to orchestration, governance, and organisational readiness.

The talk set a clear frame for the evening: a solid AI setup depends as much on architecture and culture as it does on models.

Energy Roundtable keynote

Keynote by Emilie Lundblad on building for AI

Panel: How organisations should think differently about AI

A panel discussion followed, moderated by Jonas from Netlight. Panelists included Sofus Laub Erdal (CEO, Lumina), Tim Doolan (Cloud and Architecture Lead, Spirii), Christian Randløv Schmidt (Co-founder & CTO, Reel), and Mia Klit Jakobsen (Cybersecurity & Compliance, Clever).

The conversation covered how hiring is changing in the age of AI, which frameworks still matter when code increasingly writes itself, and how to measure value creation against token costs. It perfectly captured the tension many teams face between capability and cost as AI becomes embedded in daily operations.

Energy Roundtable audience

Guests from across the energy sector joined for an evening focused on learning

Other themes included how companies prepare for AI at an organisational level, what initiatives are underway today, and how security and compliance fit into fast-moving environments.

Energy Roundtable networking

Networking and drinks after the panel

It was encouraging to see so many people engage with questions around data, optimisation, and AI in energy. More events like this is likely to follow.

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