The enterprise can adopt generative AI without losing data privacy, security, or sovereignty, but it’s not straightforward.

Redpanda

Organizations face data privacy challenges when using GenAI through cloud APIs. The solution involves bringing models to your data rather than sending data to external services. Open-source models like Llama, Gemma, and Mistral can run within your network, while providers like Cohere offer private deployments. While frontier models require expensive GPU infrastructure, smaller models can run efficiently on less powerful hardware. Data privacy policies don't need to prevent GenAI adoption—organizations can deploy models internally to maintain data sovereignty while leveraging AI capabilities.

The future of data privacy in the age of AI

Flipping the script: bring the model to your data #