Truist entrusts AI data pipeline to Qlik’s expertise

Financial services is a sector expected to undergo a radical change due to artificial intelligence, but QlikTech International AB wants to make building an AI data pipeline as easy as possible for its banking customers.

Qlik services Truist Bank with its data analytics and AI solutions, which now include a fully managed open lakehouse and agentic AI tools. The goal, according to Harveer Singh (pictured, right), chief data officer, Consumer and Small Business Banking, at Truist, was for Truist to modernize its data architecture without taking on additional complexity.

Truist’s Harveer Singh and Qlik’s Mike Capone talk with theCUBE about modernizing finance.

“Don’t make it rocket science,” he said. “It’s data, transformation of data, it should be as simple. If you can see it, you can do it, right? That was the motto. And I think they’ve [Qlik] kept on to that as well … honestly, the race for AI, the winner is the one that will have access to the data the fastest.”

Singh and Mike Capone (pictured, left), chief executive officer at QlikTech International AB, spoke with theCUBE’s John Furrier and Bob Laliberte at Qlik Connect, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed Truist’s modernization and Qlik’s approach to AI. (* Disclosure below.)

Simplifying the AI data pipeline

Qlik calls itself “data-centric,” and that is evident in its approach to the Truist partnership. As Truist was attempting to bridge the gaps between different legacy technologies, Qlik came in to streamline the data side while Truist’s architecture underwent renovations.

“We saw this wave of AI, but we knew the key to it was going to be data,” Capone said. “Data quality, data governance, trust. We talk about trust a lot, and so 14 acquisitions later, lots of organic [research and development], we built this out and all the innovation … not only [did] we get there, but I think we even got a little bit ahead.”

Capone is referring to Open Lakehouse in Qlik’s Talend Cloud, a product that appears to be ahead of the curve on data management. This fully managed Iceberg-based lakehouse, along with other features on Talend, simplifies the work on Truist’s end.

“My goal is to eliminate as many moving parts as possible, keep a simplified architecture, because simplified architecture is easy to maintain, more cost-effective, total cost of ownership,” Singh explained. “And if the data doesn’t move that much, it means that you’re relatively able to access it and democratize it much faster.”

Keeping data secure is key for financial institutions, which handle sensitive customer information and have little room for error. At Truist, the data is stored with Snowflake Inc. Qlik manages the pipeline so that data isn’t getting moved around more than necessary, and Truist’s employees have a smoother experience.

“It is not having to be a construction worker and not having to actually cobble together five or six different tools to build an AI data pipeline,” said Capon. “They [Truist] really have really doubled down on Qlik and Snowflake. We work great with Snowflake to build these data pipelines, land it in Snowflake and run their business.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of Qlik Connect:

(* Disclosure: TheCUBE is a paid media partner for Qlik Connect. Neither QlikTech International AB, 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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