NAViGATE 2026 at IBM TechXchange

Organizations running IBM i systems often face restrictions that prevent them from using external AI services. This session explores how to deploy and integrate local AI models to enable secure, on-premise data access and interaction. We will cover architecture patterns for running models alongside IBM i, approaches for enabling natural language access to DB2 data, and methods for limiting sensitive data exposure. The session will also address performance considerations, infrastructure requirements, and trade-offs compared to cloud-based AI. Real-world examples will illustrate how teams can safely introduce AI capabilities while maintaining control, compliance, and reliability in enterprise environments.