Nicolas Darveau-Garneau

speaker

464 appearances 1 recordings 1 series first heard Apr 2026 last heard 9 Apr

Nicolas Darveau-Garneau’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Apr 2026 with 1.

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Finding Peak with Ryan Hanley · Ex-Google Chief Evangelist: 90% of Companies Optimize AI Wrong · 9 Apr 2026 podcast

I'm only guessing.

But I'm actually comfortable with that guess.

I'm going to optimize using that guess.

And I'm going to improve that guess over time.

I'm going to get better and better.

But I'm basically building a business that is running based on the future.

Yeah, a couple of thoughts on that.

It's a great question, Ryan.

One is, let's just kind of predict the future a little bit, right, and assume AI agents work.

Let's assume that, you know, the number of hallucinations goes down to near zero, and you get all these processes of agents doing a bunch of work for you.

um okay so that's interesting so and that's going to get pretty commoditized right you get customer service agents and this and that pricing agents so we're back to you know asking the agents to do the right thing and we're back to giving it the right data and then using your judgment as well so there's three things that matter what do you ask the ai to do we talked a little bit about this what data do you feed it right and then what do you do with these decisions so um

One of the thoughts there is that these AI models are actually extraordinarily powerful, and most companies are actually very worried about using them today.

So, for example, in the car insurance business, we went back to property casualty, and this is a public case study that's seven years old.

I think it's even like eight years old now.

So Google worked with AXA, right?

The large European car insurance company.

And their AXA used to look at their predictive model for large lost car accidents, right?

Car accidents that cost $110,000 to insure.

And AXA had 72 pieces of data they were using legally

They solved this plumbing problem, and they had the data, right?

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