UPDATED 14:03 EDT / JUNE 27 2023

BIG DATA

‘Push-button scale’ a boon for fintech in the data transformation age

Financial technology has disrupted the traditional banking space and brought about new-age ways for people to consume financial products.

One of those disruptors is Current, the U.S.-based fintech that has leaned on the flexibility, speed and scalability of MongoDB Inc.’s Atlas to deliver outcomes and grow at a consistent, sustainable pace.

“For Mongo in particular, we’ve been working with Atlas for many, many years,” said Trevor Marshall (pictured), chief technology officer of Finco Services Inc., Current’s parent company. “What that gives us is the flexibility to not think too much about how big we need to get based on the transaction volume — the number of customers. That sort of push-button scale, once we did quite a lot of work to get ourselves set up to be able to do that, has given us a tremendous advantage from a cost and efficiency advantage and performance advantage of being able to deliver with high reliability.”

Marshall spoke with theCUBE industry analyst John Furrier at the MongoDB .local NYC event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the Current/MongoDB relationship and the new value areas being unlocked by MongoDB’s transition into a data platform. (* Disclosure below.)

Harnessing GenAI from a fintech perspective

Companies are leaning on generative AI and large language models for operations that range from marketing and end-user interactions to sales, customer support and logistics management. Current’s harnessing of new-age AI is built on the foundation of a congruent data layer across the board, according to Marshall.

“What’s really important for us is that, and what we’ve been focused on is how do we make sure that we’re creating this sort of homogenous data layer across all of the interactions that our customers have with us? And then you can start leaning into some of the amazing technology,” he explained.

Additionally, AI products from big industry names such as Google Cloud are trickling down to organizations that might not have the specialized knowledge to create the tools themselves — and that’s a welcome advantage, Marshall added.

“We’re also here speaking with Google Cloud, and they’ve done a lot of work in starting to productize and make available a lot of these advancements to companies like us where we don’t have to have all of the very academic knowledge of how to construct these things but still get the benefits of them.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the MongoDB .local NYC event:

(* Disclosure: TheCUBE is a paid media partner for the MongoDB .local NYC event. Neither MongoDB Inc., the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE

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