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Chris Slovak is Global Field CTO at Unframe, according to the show notes.
“Global Field CTO at Unframe”
Topic
Unframe
11 facts from 1 episode, in date order. These are what speakers said on the shows, each linked to the moment it was said. They aren't independently verified.
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Slovak says Unframe's inventory intelligence solution stores data in both relational and vector databases so it can return factual figures and also find similar items.
“We store the data in both, you know, relational as well as vector databases, so that we can do, you know, factual pull throughs.”
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Slovak says Unframe's inventory intelligence deployment is estimated to save a customer between forty and fifty thousand dollars in time and data management costs.
“we're saving them somewhere between forty and fifty thousand dollars in both time and data management costs.”
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Slovak says the inventory customer is projecting returns of forty times its investment.
“Not not only are they making great decisions and projecting out forty x ROIs,”
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Slovak says a classic deep learning OCR model can extract information from a document page at a fraction of the cost of using a large language model.
“tell a classic deep learning OCR model? That's a fraction of the cost? Hey, look at this page and pull out the information that we need.”
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Slovak refers to an outcome-based model in which Unframe is not paid until the solution works, as described by Larissa in an earlier episode.
“And you've heard Larissa talk about, we don't get paid until it works.”
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Slovak says a multiline insurance company previously took about nine months to build one end-to-end use case.
“Well, in the prior world, it was taking them around nine months to build one full end to end, you know, system, use case solution.”
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Slovak says the multiline insurance company now builds a use case with Unframe in two weeks.
“Now with us, they do it in two weeks.”
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Slovak says that what others call ontology or context layers, Unframe calls a knowledge fabric, linking data, intent and tool usage.
“This is actually where technology context layers, as you know, Peter calls, like ontology layers, we call it knowledge fabric.”
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Slovak says that if a first use case covers about sixty of the major business entities and tools, the second use case is already largely covered.
“Use case number two is already like sixty of the way there.”
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The host describes Unframe as building secure AI-native software that integrates with a company's existing systems so enterprises can deploy custom AI solutions on their own data.
“Unframe builds secure AI native software that integrates directly with a company's existing systems, letting enterprises deploy custom AI solutions on their own data quickly.”
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