New research points to a major shift in enterprise IT: more than two-thirds of surveyed data leaders are moving some workloads back into the data center.

The catalyst? AI.

In today’s episode, Paul Muller is joined by Cloudera CTO Sergio Gago and CPO Leo Brunnick to unpack Cloudera’s survey of more than 1,500 technology and data leaders about how AI is reshaping their infrastructure. As AI moves into production, agents can generate dramatically more queries than human users do, putting new pressure on the systems beneath them. That is forcing enterprises to reconsider where workloads should run and how much flexibility they will need as AI evolves.

Sergio and Leo join Paul to discuss what they call the “great AIre-architecture” and why the next era of enterprise AI could look decidedly hybrid.

Inside the live conversation:

  • What Cloudera’s The Great AI Re-Architecture survey reveals about AI infrastructure
  • Why enterprises are moving workloads back on premises
  • How agentic AI changes the demands placed on enterprise data
  • The economics driving renewed interest in hybrid cloud
  • How governance changes when agents access enterprise data
  • What the next generation of data engineering could look like

The conversation also introduces Cloudera Anywhere Cloud, announced last week at EVOLVE Singapore. Sergio and Leo explain how a common architecture across public and private cloud environments could give enterprises greater freedom to place AI workloads where they make the most sense.

AI is putting decades of cloud assumptions back up for debate. For enterprise IT, the next big advantage may be the freedom to choose. 

Learn more:

Cloudera EVOLVE26: https://www.cloudera.com/events/evolve.html

The Great AI Re-Architecture survey report: https://www.cloudera.com/content/dam/www/marketing/resources/analyst-reports/the-great-ai-re-architecture.pdf.landing.html

Sergio Gago on LinkedIn: https://www.linkedin.com/in/sergiogh/

Leo Brunnick on LinkedIn: https://www.linkedin.com/in/leobrunnick/

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