Among the many subjects covered at this year’s Data + AI Summit were data observability and the ongoing platform shift tied to generative artificial intelligence. There’s rebuilding and, in some cases, complete redos going on.

Enterprises are dealing with cloud transformations, modernizations and AI. But at the fundamental level, there’s still the operability model, according to Rohit Choudhary (pictured), founder and chief executive officer of Acceldata Inc.

Acceldata’s Rohit Choudhary talks to theCUBE about the future of data observability.

“We’ve got to keep it running, and that has to apply for your data warehouses, for your data lakes and your lakehouses,” Choudhary said. “I think as long as you can provide that central cockpit view to the data enterprise, I think you’re still going to be extremely interesting.”

Choudhary with theCUBE Research’s John Furrier and Savannah Peterson at the Data + AI Summit, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the future of data observability and data governance. (* Disclosure below.)

Accelerating data observability: Structured data’s growing role in gen AI

The focus right now in the generative AI world is completely on unstructured data. But it’s moving very quickly to the structured side, according to Choudhary.

“I think it is happening in small pockets, which is, can we actually go and predict some KPIs and look at what these KPIs will be six months out?” he said. “There’s also the element of the non-generative AI, which is getting implemented on the structured data side. I think that’ll be a while before people realize that they’re ready for it.”

That’s where Acceldata feels it plays a big role. It’s important to get one’s data house in order, according to Choudhary. “Otherwise you won’t get garbage out for the garbage that you have, but you’re going to get disasters out,” he said. “I think it’ll be about 18 months before we see realistic outcomes of generative AI. But the investments have to start today.”

As far as use cases, revenue capture, revenue leakage, compliance and finance and financial reconciliation are the big buckets, according to Choudhary. System reliability and downtime are key.

“I think this world is no different than the application development or the APM world. For us, data observability is equivalent to what APMs did for applications. Just give them more reliability,” he said.

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of the Data + AI Summit:

(* Disclosure: Acceldata Inc. sponsored this segment of theCUBE. Neither Acceldata nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE