Companies Urged to Upgrade Infrastructure for GenAI Readiness


Despite growing interest and enthusiasm for generative AI (GenAI), significant challenges threaten the success of such projects, new research claims. A report by Hitachi Vantara surveying IT and business leaders across the US, Canada, and Western Europe highlights infrastructure as a critical area needing attention as GenAI projects advance.

The report found an overwhelming majority (97%) now consider generative AI a top-five priority, despite a lack of readiness. GenAI projects rely heavily on solid infrastructure, and while this reliance on strong data foundations is well-documented, Hitachi notes that companies aren’t paying enough attention to their infrastructure.

via GIPHY

Alarmingly, only one in three (37%) believe their infrastructure and data ecosystem is well-prepared. Additionally, fewer than half (44%) of organizations have a well-defined and comprehensive policy for GenAI, three in five (61%) agreed most users don’t know how to capitalize on the tech, and half (51%) share concerns about a lack of skilled employees.

Hitachi Vantara CTO Ayman Abouelwafa summarized: “Enterprises are clearly jumping on the GenAI bandwagon, which is not surprising, but it’s also clear that the foundation for successful GenAI is not yet fully built to fit the purpose, and its full potential cannot be realized.”

With automation and optimization (37%), predictive analytics (36%), and fraud detection (35%) emerging as key drivers for GenAI adoption, companies continue to worry about privacy and compliance (81%) and data quality issues (77%). Both of these concerns can be addressed by strategic and correct foundations, including suitable infrastructure.

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Abdul Rehman

Abdul is a tech-savvy, coffee-fueled, and creatively driven marketer who loves keeping up with the latest software updates and tech gadgets. He’s also a skilled technical writer who can explain complex concepts simply for a broad audience. Abdul enjoys sharing his knowledge of the Cloud industry through user manuals, documentation, and blog posts.

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