Dell and Nvidia target the data chaos standing between AI pilots and real results
As organizations push to convert AI ambition into defensible business results, many are discovering that infrastructure alone is not enough. Instead, the real challenge lies in reconciling decades of fragmented enterprise data into actionable intelligence.
Solving that challenge is now a core focus of Dell Technologies Inc.’s AI Data Platform, built in partnership with Nvidia Corp. Enterprise data today is spread across countless systems of record and often exists in unstructured formats that must be tagged and fed into AI pipelines before it can power models and applications, according to Varun Chhabra (pictured, right), senior vice president of product marketing at Dell. To fix that, the entire data pipeline must be managed end to end.
“[Resolving the data problem requires] a lot of the work, not just at the storage level, but data ingest, data curation, orchestrating the entire data pipeline — that’s really the focus to make sure that data gets fed into the GPUs,” Chhabra said. “That intelligence and business context, which is really what data is, makes the AI outcomes more powerful.”
Chhabra and Rajesh Rajamaran (left), vice president and chief technology officer of Dell Storage, AI data storage and data protection at Dell, spoke with theCUBE’s John Furrier and Dave Vellante at Dell Technologies World 2026, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how data has emerged as the hidden bottleneck in enterprise AI adoption and why scalable AI depends on the ability to curate and operationalize fragmented enterprise data. (* Disclosure below.)
