Secure Generative AI for Regulated Enterprises | Behind Your Firewall

Leveraging Generative AI Securely in Sensitive Industries

Are you interested in implementing sophisticated generative AI within the healthcare or finance sectors, but concerned about data privacy implications? A recent panel discussion from TechCrunch Sessions: AI offers valuable insights.

Cohere’s Solutions Architects, Yann Stoneman and Betsy Groves, led an engaging session. They showcased methods for deploying tailored, secure AI models directly within your own infrastructure, eliminating the need for external cloud services.

Demonstrations with Cohere’s Platforms

The demonstration utilized practical examples drawn from two of Cohere’s key offerings: North, an agentic AI workspace, and Compass, a multimodal retrieval system.

These examples illustrated how to effectively utilize these tools in real-world scenarios while maintaining robust data security.

Addressing Key Challenges

If your organization faces hurdles related to regulatory compliance, secure access to internal data, and the delivery of measurable benefits through private AI deployments, this session provides actionable guidance.

A recording of the complete session is available, equipping you with the knowledge to construct AI solutions operating securely behind your organization’s firewall.

Further resources and the complete Sessions: AI program can be found here.

• Data Privacy: Learn how to deploy AI without compromising sensitive information.
• Secure Deployment: Discover methods for running customized AI models on-premises.
• Practical Use Cases: Explore real-world applications with North and Compass.