UPDATED 15:11 EDT / JUNE 06 2024

AI

BET turns to Kumo’s predictive AI solution for attracting and retaining viewers

For major media content providers, such as Black Entertainment Television LLC, or BET, meeting the expectations of its viewers is of paramount importance. This is where a predictive AI solution takes on greater significance.

Brian Rikuda, executive VP at BET and Vanja Josifovski, CEO of Kumo.ai talk with theCUBE about predictive AI at the Data Cloud Summit. predictive AI solution

BET’s Brian Rikuda and Kumo.ai’s Vanja Josifovski talk with theCUBE about predictive AI.

“We are looking at data in different ways than the industry has looked at data before to start predicting what customer behavior is going to look like,” said Brian Rikuda (pictured, left), executive vice president of strategy, operations and programming scheduling at BET. “We have a range of subscribers that have certain consumption habits. But what we don’t know is what are the other types of content that we have in our service that they might want to get exposed to.”

Rikuda spoke with theCUBE’s research analysts Dave Vellante and Rebecca Knight at Data Cloud Summit, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. He was joined by Vanja Josifovski (right), co-founder and chief executive officer of Kumo.ai Inc., and they discussed how Kumo is helping BET attract and retain customers. (* Disclosure below.)

BET leverages predictive AI solution for customer insights

As a user of Kumo’s solution, BET is interested in finding new ways to meet viewer expectations. That will require deeper insight into the preferences of its customers, according to Rikuda.

“With services like Kumo … it allows us to look at customer behavior, it allows us to look at the inventory of content that we have and start making more dynamic recommendations,” he said. “If you could solve the problem of retention in the weekly or monthly leakage of your subscribers, you actually solve a huge problem for the growth of the overall business.”

Practitioners such as Kumo are seeking to move the field of predictive AI forward by providing graph learning over enterprise data with generative AI models.

“You still need to put a lot of effort into seeing what’s going to happen in the future,” Josifovski said. “We need to get it to the point where it’s easy, it’s ‘press a button’ and you get the predictions out. That’s why we founded this company, Kumo, to allow you to do that.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of Data Cloud Summit:

(* Disclosure: Kumio.ai Inc. and Black Entertainment Television LLC sponsored this segment of theCUBE. Neither Kumio, BET, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE

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