Everpure and WWT say data-ready AI infrastructure starts with clean, governed data
Getting to production-ready AI requires much more than fast storage because enterprises need data-ready AI infrastructure that’s built on clean, governed and well-understood data before any meaningful deployment can scale.
It’s a shift that’s redefining what partners bring to the table, according to Hope Galley (pictured, right), vice president of Americas partner sales at Everpure, and Justin Field (left), technical solutions architect at World Wide Technology, the latter of which was recently named Everpure’s global partner of the year. Both said the conversation is moving decisively away from speeds and feeds toward business outcomes and cross-functional selling into the C-suite.
“Every CIO or CEO knows that they should be in AI,” Galley said. “But what does that mean? What business case? What can AI solve for them? The more that you have a consultative approach, those are the ones who are going to win.”
Galley and Field spoke with theCUBE’s Christophe Bertrand and Alison Kosik at Pure Accelerate 2026 event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed what data-ready AI infrastructure requires and how the partner model is transforming to meet it. (* Disclosure below.)
