Databricks helps First Orion respond to phone scams in milliseconds

Databricks helps First Orion respond to phone scams in milliseconds

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Phone scams continue to wreak havoc because of the identity theft involved and financial loss incurred.

Based on its quest to bring transparency to phone calls and enable people to trust their phones, First Orion Corp. analyzes nearly a hundred billion phone calls annually with the help of Databricks Inc., and is able to detect scams within milliseconds, according to Jamelle Brown (pictured), chief technology officer of data services at First Orion.

“We are responsible for scam and fraud, spam protection in the phone call, as well as brand identification for a business to let the caller know who they are,” Brown said. “For every one phone call we receive, there’s a minimum three packets that we receive that we then have to tie together … we basically fingerprint each phone call. By generating this fingerprint, we’re able to determine statistically whether we think this call is a scam or not or a different type of call … ultimately, we have to respond to that phone call within a hundred milliseconds.”

Brown spoke with theCUBE industry analyst Rob Strechay at the Databricks Data + AI Summit, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how First Orion tackles the phone scam challenge with the help of Databricks and artificial intelligence.

How AI comes into the picture in phone scam prevention

AI comes in handy in phone scam mitigation. This is because First Orion uses this cutting-edge technology to augment human capacity when combing through phone call data, Brown pointed out.

“Most of our AI usage is in either we use AI in some of our scam prevention [or] we use some AI in our vetting applications; we have to vet businesses,” he added.

First Orion sees Databricks as a stepping stone towards making people’s lives easier by eradicating phone scams and the delivery of better products. For instance, its latest innovation, LakehouseIQ – an AI-powered engine meant to understand an enterprise’s unique data and jargon for easy natural language adoption – is geared towards this objective, according to Brown.

“The LakehouseIQ, I think that’s going to be a goldmine,” he noted. “Especially being able to ask real questions, ‘Hey, what happened to this process?’ Now being able to ask these questions or just automatically let us know, and then be able to ask further qualifying questions about the issue that happens is going to allow us to make our products much more stable.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the Databricks Data + AI Summit:

Photo: SiliconANGLE

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