How to Govern Open Source AI at Scale

Enterprise adoption of open source AI models is growing, with 43% of organizations planning to invest $1 million+ in AI initiatives. Yet 62% face challenges moving models into production due to governance issues like security, compliance, and licensing risks.

This showcase explores how to leverage open source models’ speed and flexibility while ensuring enterprise-grade security. 

Key insights include:

• Infrastructure for secure model catalogs and automated policy enforcement
• Model quantization to cut costs and speed deployment without performance loss
• Balancing innovation with risk management at scale