What's Driving the Great AI Re-Architecture?
As enterprise AI scales, traditional data architectures are reaching their limit. Workloads are becoming more distributed, data movement is accelerating, and tech leaders face growing pressure to justify AI spend while delivering real business impact.
Chief Technology Officer Sergio Gago breaks down key findings from Cloudera’s latest global survey of enterprise architects, data architects, and cloud leaders.
- 72% of organizations say their current data architecture requires a complete overhaul to support AI goals.
- 95% have delayed or canceled AI projects due to governance, compliance, or regulatory challenges.
- 66% have repatriated AI workloads from public clouds back to on-premise, data center, or sovereign cloud environments.
- Why the future of enterprise AI is hybrid, flexible, and grounded in trusted data.
Read the full report here: http://cloudera.com/campaign/the-great-ai-re-architecture.html
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