The AI model is table stakes: Enterprise data is where the battle begins
Enterprises need practical solutions when it comes to artificial intelligence implementation.
As organizations look to move AI projects from proof of concept into production, navigating the challenges of integrating AI across an entire organization is becoming a priority. The hardest part? Making all of an organization’s data accessible and usable.
“Businesses are in the business of business,” said Nicola Tan (pictured, right), director of market development, Enterprise AI, at Advanced Micro Devices Inc. “They’re not making models. Unlike hyperscalers, they’re trying to maximize their core businesses. Everyone has access to ChatGPT or Claude or open-source models. So, the model itself is table stakes. Really where the value for enterprises is in their data.”
Tan, alongside Junxia Zhou (left), senior product manager at Super Micro Computer Inc., and Mayank Gupta (middle), director of solutions marketing at Nutanix Inc., spoke with Rob Strechay, for the Supermicro Open Storage Summit interview series, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed their collaboration and the practicalities of AI adoption. (* Disclosure below.)
