TheCUBE analyst Dave Vellante sits down with Leo Brunnick, chief product officer at Cloudera, after a high-energy day in New York for Cloudera EVOLVE25 that isn't slowing down just yet. Private equity backing is accelerating product bets and “data anywhere powers AI everywhere,” according to Brunnick says. He breaks down Data Services 2.0 and a usability-first push, tying recent moves like Octopai and Taikun to a cloud-like experience on-prem or across hyperscalers with the same code. The conversation highlights how enterprises are navigating hybrid data realities to make AI practical. An oil and gas company combines edge processing with centralized analytics to predict equipment failures, saving billions, Brunnick notes. Pharmaceutical firms are also accelerating discovery by applying governed data patterns. Cloudera’s latest survey shows 52% of enterprises report measurable AI value, while McKinsey estimates about 30% of inference will remain on-prem. Edge-to-AI momentum is also growing through technologies like NiFi and Flink, alongside early experiments with small models at the edge. The goal is to enable faster partnering and “yes-and” integrations that balance innovation, control and cost, Brunnick emphasizes.