NetApp aims to make legacy data AI-ready without a rebuild

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is betting it can answer that question with a platform that reaches well beyond its storage roots. The company […] The post NetApp aims to make legacy data AI-ready without a rebuild appeared first on SiliconANGLE .

The company is framing its intelligent data infrastructure strategy around a simple promise: Make data usable for AI where it already lives, according to Jen Prenner (pictured), senior vice president of product marketing at NetApp. “For data to be usable for AI, it needs to be accessible, governed, protected, available,” Prenner said.

“You need to be able to do that with all that data for your projects without re-architecting the data or moving it.” Prenner spoke with theCUBE Research’s Christophe Bertrand and co-host Rebecca Knight at NetApp INSIGHT , during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio.

They discussed making legacy enterprise data usable for AI, unified storage and built-in data protection. (* Disclosure below.) Building AI-ready data without new silos Making legacy data usable for AI requires support for different types of storage.