Olivia Moore
speaker
3,003 appearances
15 recordings
1 series
first heard Mar 2025
last heard 3d ago
Olivia Moore’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 8 in all, peaking in Mar 2026 with 2.
Appearances
More than the FDs being very close to the product, I think it's more so like our product is a combination of a platform and a forward deploy motion, and it would really not exist.
And there's like this conversation about like services and stuff.
The difference is that the forward deploy engineer are like catalysts or accelerators to value, but what we're leaving in the customer are like agents running.
There's a platform.
Once the FDs have done their work, they leave a working thing.
So it's almost like you...
Spend that time, you deploy a thing, but you're not delivering an output that the FDE has done.
You're literally delivering the agent working on a platform.
So it's a very different distinction of pure services versus a forward deploy implementation plus the platform running the value forever, hopefully.
Yeah, I think there's an interesting tension in...
how much time you need to spend ahead of deploying the agents on cleaning the data versus just deploying the agents and cleaning the data through doing the execution.
And I think it's a mix.
I think what we realize is these agents are creating a lot of information that really hasn't been captured before.
And it really doesn't fit in any of these systems because it's more like high dimensional, semantic, almost like memory intelligence.
So I guess
the point is many enterprises i guess are waiting to clean their data sources so that they can power this uh workforce of agents and i think by doing the work and by actually having agents execute the work you're gonna clean the data as you go because humans are
Great, of course, but they have a lot of limitations.
They can be in two places at the same time.
They drop a lot of threads.
They're not very diligent in putting the data in the right system.
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