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Ray Jang

Oct 27, 2026

5:23
That does still in
5:25
part exist.
5:26
You will see versions of that play out in the Super Bowl ads and commercials these days.
5:38
appear in front of their target customers, what they really need is more a engine, a machine that will actually help them treat marketing more like a science than an art.
5:56
And so fundamentally, what AI is really, really good at is it's a compression engine.
6:02
It's able to take in a lot of knowledge, a lot of disparate data sets, and then compress it and unify it to summarize, to translate, and then to boil it down into unique insights.
6:17
So at Atria, for example, what we've done is we're able to build this lattice kind of network where we're able to cross-reference different ads that are coming in through our network and give more precise and specific recommendations based on what's really working across our customer base.

6 MINS LATER

12:22
When you're talking with, let's say, when you're talking with prospects, what do you see as some of the misconceptions that businesses today still have about using AI in their marketing?

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