From large language models – think ChatGPT – to natural language processing, artificial intelligence is stamping its authority across the globe.

Frustrated by manual onboarding processes during its quest to grow market share in the corporate sector, Banco Galicia resorted to using Red Hat Inc.’s expertise when creating an NLP platform, according to Erico Behmer (pictured, left), chief information officer at Banco Galicia (Galicia Bank).

“The first step is the processing of the images with computer vision, the libraries and plugins in order to clean the images,” Behmer said. “The second step which is the OCR, to capture each letter. Then is the magic of the NLP, trying to put the letters together to form words, and using of course natural language processing to complete words with letters that we missed during the OCR process. At the end is the entity recognition and mapping that closed the whole matching process in order to capture the name of the company, the name of the powers of attorneys.”

Behmer and Victoria Martinez (right), LATAM manager of business development, data science, at Red Hat, spoke with theCUBE industry analysts Paul Gillin and Rob Strechay at Red Hat Summit, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how an NLP platform and Red Hat OpenShift came in handy during Banco Galicia’s digitalization journey. (* Disclosure below.)

How Red Hat OpenShift comes to play

Since manual processes involve heavy paperwork, Banco Galicia felt cheated because its digitalization attempt failed because of the use of closed technologies. However, the bank saw light at the end of the tunnel after deploying Red Hat OpenShift and Red Hat Consulting when developing an AI-based platform that improves data analysis and processing, according to Behmer.

“The Red Hat Consultant team came up with a solution to change the whole stack that we were using and to start building the project over OpenShift,” Bhemer noted. “We were using OpenShift for a long time. We have almost 25 clusters right now with 300 projects, 15,000 ports running every time. We were really excited to change this technology stack and to start building with a different mindset, with an open sort of mindset. So, that’s why, how we started.”

Having built the bank’s NLP platform from scratch, Red Hat continues to push modernization efforts higher. This objective is boosted by open-source technology, Martinez pointed out.

“We want to build the capability with NLP in the bank. Not only a project, not only solve a use case,” Martinez added. “The customers are very sensitive with the data and all the solution is on-prem. We share this new vision, start with a little use case and with a little MVP. Then we launch to all the onboarding processes.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of Red Hat Summit:

 (* Disclosure: Red Hat Inc. sponsored this segment of theCUBE. Neither Red Hat nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE