The Ledger
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why aren't all 22 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Oudghiri: Businesses have not done much to put data to work
“I still don't believe that businesses have done much. In terms of putting data to work.”
Oudghiri: Graph databases are not yet sufficiently mature for enterprise outputs
“Graph databases are not quite where they are yet”
Oudghiri: Enterprise data problems stem from disparate contexts, not analysis limits
“Most of the problems exist not because we don't know how to analyze the data or we don't necessarily see the patterns of the data. It's just because these data sets are born in different contexts and have different purposes, right?”
Oudghiri: Data feedback loops are more valuable than underlying predictive models
“Some of the best companies I know have very strong feedback loops into their data, and that's, you know, an even better technology than the underlying model.”
Oudghiri: Most enterprise data successes rely entirely on digital activity logs
“Most of the successes you hear about in, ah, the data space Enterprise or not. The data that they deal with is instrumented in bits, i.e., the data that they're collecting comes from a machine, most often user activity generated on the internet.”
Oudghiri: Banks deploy thousands of manual reviewers for sanctions screening
“When you're, you know, a bank issuing a credit card screening against a sanctions list of known terrorists and financial criminals in dozens of language with phonetic spellings and real-world spellings, and all you have is a, you know, set of names from the U.…”
Oudghiri: Real-world operational data lacks primary keys and consistency
“That's the reality that we deal with, ah, in the world of atoms, that data is inconsistent. There are no real keys.”
Oudghiri: Knowledge graphs depend on embedded metadata and graph traversal
“There's two key components. One, it's the ability to embed metadata in the data structure itself, i.e. The attributes are known. So if you're talking about a person, they kind of always look away. A company, they always kind of look away, and that helps you mo…”
Oudghiri: SMB corporate registration addresses do not match physical locations
“None of their addresses and their corporate registrations are actually the addresses that the locations are in.”
Oudghiri: Data lakes centralize data, but entity models are required for connectivity
“The data lake journey basically just moves all of your stuff into one place, but if you really want to get a view of how your data is connected, you really need to think about making things much more about, you know, representing them in a much more entity spe…”
Enigma counts BlackRock, PayPal, AmEx, and BB&T as key clients
“BlackRock is a big customer. PayPal is a big customer. American Express is a big customer. BB&T is a big customer.”
Oudghiri: Entity resolution machine learning models cannot generalize across domains
“So it's definitely not generalizable, which is, you know, part and parcel of our IP, right? Being able to resolve companies and specifically small and medium businesses really well is different than being able to resolve people and being able to resolve, you k…”
Oudghiri: Enigma built first data catalog searching table rows, not metadata
“It was the first data catalog that came out with this notion of actually searching through billions of records, searching through big data, so to speak, and actually hitting on actual data points inside the tables as opposed to the metadata in the table, right…”
Oudghiri: Software code will look more like data in the future
“And this, I tell you, will be a trend. Your code will look more like data than it does today.”
Enigma recently raised just under $100 million in funding
“We recently fundraised, ah, just shy of a hundred million dollars”
Oudghiri: Enterprise data value requires transforming internal customer data
“Half of the equation is not just about our data, but about the customer data and how the customer data needs to be transformed in such a way that you can actually take decisions on it.”
Enigma shifted from raw public datasets to building a unified knowledge graph
“Whereas we had exposed hundreds of thousands of data sets and told people, go at it, the reality of the matter was that, you know, we had to connect the dots in our data in the data ourselves, and we had to merge the data together to make it Into one data mode…”
Oudghiri: Enigma's company graph covers 30 million SMBs and 1,000+ attributes
“The Enigma company graph is probably the one folks are familiar with the most at this point, which contains thirty million You know, different SMBs worth of data, and over a thousand attributes that we've been sourcing from public data, deriving.”
Enigma deployed its Smoke Signals risk assessment tool with New Orleans
“And this is something that we deployed You know, ah, with the city of New Orleans, ah, have people actually go out and, ah, kind of knock on doors and deploy smoke detectives this way.”
Enigma has over 100,000 datasets in its system
“It was just not hitting the scale that we needed to acquire, you know, the 100,000 Plus data sets that we have in the system, and kind of maintain them, and it was just not operational enough.”