Everything Apoorv Agarwal said on any show that made the record, most notable first. Each card names its show and opens the statement there.
A major New York bank hired 13,000 compliance reviewers since 2012
“A major bank in New York alone, they've hired over 13,000 people since 2012 looking for sensitive needles in this haystack.”
Structuring enterprise unstructured data requires unsupervised machine learning
“There's just so many different types of documents and types of data that there's just no way we can, you know, tackle this problem using supervised machine learning. So a lot of the machine learning we use in-house you know, is, is mostly unsupervised and that…”
Enterprise AI only needs to outperform keyword searches and human reviewers
“The bar is not to be hundred percent accurate. The bar is search tomes and 500 humans, right? And as it turns out that bar is not that hard to beat with AI.”
Enterprise compliance still relies mostly on keyword search and manual review
“The status quo method, the most popular method of finding these needles in a haystack remains to be based on search terms, ah, and manual review.”
Text IQ infers employee roles and relationships to flag sensitive information
“We can analyze human communication, we can infer things about roles of people within an organization, their relationship, and that allows us to zoom into or find many different kinds of sensitive information.”
Agarwal: Analyzing short text requires different ML techniques due to context limits
“Dealing with short text, it's a totally different you know, animal compared to longer text. There's very little context.”
Text IQ achieved profitability by 2017 with a 100% pilot conversion rate
“We've been profitable since 2017 but really the metric that we are proud of is that we, we've had a hundred percent pilot to customer conversion rate.”
Legacy compliance review for a healthcare client would have cost $4 million
“Had they used the status quo method, which is very much based on search terms and manual review, it would have taken them about 20 weeks To review all these documents. Ah, we later showed them that their search would have missed about 10% of the sensitive info…”
Text IQ was launched via a government research grant in 2014
“Around the time in 214, ah, when I was graduating, ah, the government, ah, who had funded a lot of my research, saw a lot of commercial potential in what we had built, ah, they gave us a grant, ah, and that's how we got started.”
Agarwal: Text IQ grew 5x over 6-7 months
“We've grown like five times over the past six, seven months.”
MADLEDGER