Data complexity is the primary pain point as companies make the jump to generative artificial intelligence. Data unification simplifies this complexity by reducing data silos and providing organizations with comprehensive insights.
“I think the first thing is looking … at what’s driving the need for solutions like Cloudera?” said Bob Laliberte, principal analyst at theCUBE Research. “We’re increasingly seeing these distributed environments where organizations have put applications and workloads in private data centers. They’re in public clouds, multiple public clouds [and] edge locations, and it’s driving a tremendous amount of complexity.”
Laliberte was joined by co-host Rebecca Knight for a wrap-up segment at the Cloudera Evolve24 event during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the future of how enterprise tech rewards organizations that can manage their data effectively, integrate AI and foster customer-driven innovation. (* Disclosure below.)
Data unification: AI and hybrid data models drive innovation
Given AI’s expansive data demands, unified platforms such …