AI
AI
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Enterprise IT is shifting from AI experimentation to enterprise AI enablement, pushing companies to modernize systems and unlock data value. At the same time, cloud-first strategies and evolving governance are reshaping how organizations stay competitive.
This next moment for AI is focused on real-world deployment, changing the question from “what to do” to “how to do it.” With experience running essential systems for companies such as pharmaceutical firm PiSA Farmacéutica S.A. de C.V., Kyndryl Inc. is aiming to help organizations navigate that transition at scale, according to Giovanni Carraro (pictured, left), senior vice president of alliances at Kyndryl. For PiSA, that meant working toward modernizing its SAP SE infrastructure on Google Cloud to unlock years of accumulated manufacturing data.
“Kyndryl comes with a background of running mission-critical systems like we’re doing at PiSA,” Carraro said. “The mission is how do we transform — starting obviously with their SAP system — into a modern and agile environment like Google Cloud to unlock the potential of all the data that years of manufacturing have created [and] to create the outcomes that obviously they want to continue to drive toward?”
Carraro and Hector Genaro Moran (right), chief information officer of PiSA Farmacéutica, spoke with theCUBE’s John Furrier and co-host Alison Kosik at Google Cloud Next, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the shift from AI experimentation to enterprise AI enablement and the push to modernize legacy systems through cloud transformation. (* Disclosure below.)
For decades, technology’s primary role was keeping records — trapping a wealth of information inside systems that were built to store data, not leverage it. In highly-regulated industries such as pharmaceuticals, that data feeds compliance reporting to regulators, but rarely goes further, according to Carraro. But new demands require new thinking, with AI raising the stakes for organizations still running on legacy infrastructure.
“Now these [systems] have to become a system of insights [with] the ability to really extract the value the data has and drive better business outcomes,” Carraro explained. “For us, it’s critical to modernize the system and then also to help them in that way that we do — running the systems, transforming and then running them again in the new area of AI.”
For PiSA, that shift is already underway — and the view from the inside is striking. Working alongside Kyndryl and Google Cloud to modernize PiSA’s infrastructure has reinforced that the technical work, however complex, is only half the battle, according to Moran. The rest belongs to the entire organization.
“It’s a partnership. It’s something that is beyond IT or beyond the board,” Moran said. “It’s something that has to be in the DNA of the company and the culture.”
Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of Google Cloud Next:
(* Disclosure: Kyndryl sponsored this segment of theCUBE. Neither Kyndryl nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
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