This batch sets the conditions for creating value with AI. It focuses on what needs to be true before AI can reliably move from experimentation to something teams can run, trust, and scale.

Framing question: Why do some AI pilots scale fast, while others quietly stall? Tension: shipping speed vs risk, proof-of-concept vs operational reality
What you get: a clear “this is what changes when you go into production” checklist

Framing question: Is “data readiness” still the real blocker, or is that just an excuse now?
Tension: perfect data vs usable data, central platforms vs domain ownership
What you get: what “good enough” data foundations actually look like, and how teams build them without slowing delivery

Description

Taste your way around the room, and add some heat to the conversation.

This batch is about building and operating AI like a serious capability. It focuses on decisions, workflows, ownership, and value in real operating environments.

Framing question: In 2026, what should you buy, what should you build, and what should you never outsource?
Tension: speed vs differentiation, vendor lock-in vs capability building
What you get: a decision model leaders can actually use, plus the trade-offs people pretend aren’t there

Framing question: When does “human in the loop” create trust, and when does it kill value?
Tension: oversight vs friction, accountability vs automation
What you get: practical patterns for workflows, escalation, monitoring, ownership, and where humans add the most leverage

Framing question: What metrics prove AI is working, beyond demos and vanity dashboards?
Tension: ROI now vs capability later, cost savings vs revenue vs risk reduction
What you get: how to measure value in months, not years, and how to avoid measuring what’s easy instead of what’s true

Stretch your legs, grab a drink, and trade one good idea in the queue

This batch focuses on where AI and robotics meet people, work, public trust, and the choices that shape Norway’s future.

Framing question: Are we underbuilding robotics in Norway, or are we overhyping what it can do right now?
Tension: lab success vs field reliability, capex vs payoff, safety vs speed
What you get: where robotics is truly ready today, what takes longer than people admit, and what’s needed to unlock adoption

Framing question: What makes AI legitimate in society, not just legal in compliance? Tension: transparency vs performance, explainability vs user outcomes
What you get: how trust is earned when AI touches citizens and customers, and what “people in the loop” means at societal scale

Framing question: What is the Norway playbook for AI + robotics, and how do we close the skills gap fast enough to win in 2026?
Tension: talent pipeline vs real-world delivery, education pace vs industry pace, Norway-first capability vs global platforms
What you get: a shared direction on where Norway should focus, plus practical ideas for building talent through real projects, real teams, and real accountability

Stick around for drinks, new faces, and conversations that go beyond the stage.

Stay for the TechBar takeover. It’s a separate event, so make sure you register for it