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

They had the data, and the actuaries were using the data.

And with that data, they were able to, you know, predict who's going to have a car crash at about a 38%, 40% accuracy rate.

Google's cloud team took the exact same data, no new data, the exact same data, and using machine learning as opposed to human math, they're able to improve that prediction to 80% accuracy.

They doubled it.

Yet, if you go around the P&C world, despite the fact that this thing is public, this case study is public, you'll be hard-pressed to see how many property and casualty companies actually use AI to predict risk.

That's one massive opportunity.

It's just your predictive models should be using the latest and greatest technology because if you get agents competing against other agents from your competitors and one is twice as accurate as yours, you're going to lose.

For example, going back to the marketing example, if Cerex has got a predictive engine that's twice as accurate as mine, and we're trying to acquire the best customers in the industry, they're going to get all of them.

Because mine can't really predict who the best customers are.

So there's a huge amount of work for most companies, even small companies, to do to just predict things better.

Going back to your bakery example, you can predict demand at the product level.

You can predict how much flour and sugar you need.

You can try to predict prices of these things going forward, when to buy, when not to buy.

There's a lot that you can do that's really exciting.

But in the end, to your point, that's just data.

And the AI is just giving you some recommendations.

But the AI doesn't have a lot of wisdom today, right?

And so I think it's really important to also have a human in the loop for the really important decisions.

Not that, you know, the day-to-day stuff, the agents are probably going to be able to handle most of it.

But when you try to make a direction shift in your business, right?

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