As companies invest in artificial intelligence and machine learning, Informatica Inc. is sounding the call for modernized data management.

The saying, “garbage in, garbage out,” has become an apt expression for AI, which is more likely to produce inaccurate results when being fed poor data.

Informatica’s Peter Ku talks about the lack of data management expertise in the tech industry.

“Everyone’s ready for AI, but your data’s not,” said Peter Ku (pictured), vice president and chief industry strategist of banking, capital markets and financial services at Informatica. “Making sure that your data’s accessible, it’s clean and trustworthy, it’s valid … is critical in order to ensure that these investments that are happening around gen AI to solve all the things that we’re trying to do from a business standpoint actually performs and delivers business value. The challenge that we’ve seen, however, the industry has under invested in modernizing their data management.”

Ku spoke with theCUBE’s John Furrier at the AWS Financial Services Symposium, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the long-term problems with legacy data management and its place in the AI conversation. (* Disclosure below.)

Data management: Legacy data tools could hinder AI use

In the financial services industry, companies have been investing in short-term solutions for data management, according to Ku. Now, that infrastructure is crumbling the face of AI and cloud.

“Companies are trying to use tools of the past for today’s needs. It’s not scaling. So … you end up creating a gap, a risk gap that has to be addressed. The only way to do that is to actually modernize your data management, your governance capabilities with technology that’s available in the market today,” Ku said.

There continues to be a lack of skilled labor in data governance, but AI might alleviate that pressure point. Informatica has created a machine learning platform called CLAIRE that serves as a copilot for data engineers.

“[We’re] leveraging large language models to basically do the work for the data professional. Where in the past you’d have to learn how to use our technology, now with CLAIRE, we’re actually doing it for them,” Ku said. “Democratizing data management … helps reduce the cost  and the ownership while at the same time reducing the risk of not getting it right because of the investments that we’re making in AI.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of the AWS Financial Services Symposium: 

(* Disclosure: Amazon Web Services Inc. and Informatica Inc. sponsored this segment of theCUBE. Neither AWS and Informatica nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE