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Moving generative AI from a boardroom prototype to secure, enterprise-grade production requires two things: trusted data and protected infrastructure. When you rely on public cloud APIs, your scaling costs become highly unpredictable, and your sensitive intellectual property risks leaving your firewall.

To build true real-time applications safely, you have to bring the compute to your governed data—not the other way around.

In this short, our AI product experts demonstrate how to bridge the gap between edge data collection and secure cloud/on-premise model deployment.

Why you should attend: 

  • Learn to accelerate generative and agentic AI initiatives by streaming real-time data from edge devices directly into your AI pipelines using Cloudera DataFlow.
  • Discover how the Cloudera AI Inference service allows you to deploy high-performance LLMs securely across any environment.

  • Understand how to overcome the "token tax" of public cloud costs and protect your intellectual property by bringing compute to your governed data.

Demo Private AI Anywhere thumbnail
Director of Product Marketing, AI, Cloudera

Robert Hryniewicz

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