Mark Stouse
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Appearances Over Time
Podcast Appearances
And I would say this the, the only pivot that we've really made in that is that we, we work primarily with finance teams today.
looking at the the objective performance of different parts of the company that would include go to market but not even remotely exclusively that and we started out selling to marketers and that that was a hard sell because once you really figure out what causal inference and causal ai really represent you realize that you're looking at
something that's going to really show you the facts of the of what's going on and that can be a little scary and and so the only people at that time that weren't well they they not only weren't terrified they were eager
To find out more, we're finance leaders, and that is only proven to be more and more true.
Well, causal AI is fundamentally about causal inference, which is not a new idea.
The math on it has been around for a very long time.
It is substantially more representative of reality than correlation.
Correlation...
is essentially, Hey, we saw that when it's sunny outside, we sell more ice cream, but clearly.
The sun didn't cause the sale of more ice cream.
Those two things just move together in time.
And so, if anything, the sun in that sense would be what mathematicians call a confounder.
And that's a negative word, but what it really means is
Something that you don't control that has an impact that you don't control, but it's not the whole thing.
It's by no means right.
We're talking about a network of causes and effects that stretch out over time.
The time lag is totally variable with the business and with the industry and with the market situation.
This is, you know, we're talking about something that the marketplace reality is highly variable and correlative systems are breaking right now all over the place.
because of that extraordinary volatility and high velocity change.
Two really primo examples of this that have nothing to do with go-to-market would be the chairman of the Fed commented about this about a month ago, and in his world,