Kristoffer Lundberg

speaker

408 appearances 1 recordings 1 series first heard Jun 2026 last heard 23 Jun

Kristoffer Lundberg’s voice in public audio — every appearance, attributed to the second.

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Making Risk Flow | The Future of Insurance · Think Slow, Execute Fast: The New Playbook for Vertical AI Transformation in Insurance | Kristoffer Lundberg · 23 Jun 2026 podcast

We'll start to see, I think, a lot more use cases deployed at scale.

We will see more of these case studies like the one I mentioned with travelers.

There will be more interesting examples of where insurers will move forward to use this.

But it's hard to say, and I almost don't want to make predictions on it because I feel things are changing all the time.

So we'll see.

From your point of view, I was just thinking, because what you just said ties back really very much with what you were saying at the beginning of the conversation around

people coming to the conference to see like real tangible case studies, right?

Yeah.

I know in the conference, you've got like different stages, which like the technology one, it makes sense to create one, which is only at scale use cases.

Yeah.

I think all of us would benefit from separating the what's real today in production from what is about building the future.

Right.

I think that'd be interesting.

I think actually having a stage, which is like a showcase stage, not from a technology point of view, but actually a case study showcase.

One thing which we want to do a lot more is dive into the case studies that has worked really well and trying to bring out as many of the learnings, because I think that's what people are craving for.

I think we're past the notion of

panel debates where people are just having a bit high level chat and people want to see real insights about what worked, what did not work.

So those are, but I would love to hear again, the two questions which I had going into this conference.

I'd love to just get your take on those two.

First one, obviously being how you see AI being deployed at scale.

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