Accelerating AI from Experimentation to Trusted Operational Deployment

Discover how Latent AI and Domino Data Lab empower mission-ready AI through seamless end-to-end MLOps workflows

Featuring Rear Adm. Douglas Small (Ret.), Chris Elsins, and Jags Kandasamy

In this insightful webinar, Rear Adm. Douglas Small (Ret.), alongside Chris Elsins, Director of Public Sector GTM at Domino Data Lab, and Jags Kandasamy, CEO of Latent AI, discussed the U.S. government’s push to deploy trusted AI at the edge, capable of thriving in contested environments. As global threats evolve, the focus has shifted from experimentation to operational deployment, leveraging streamlined MLOps workflows and accelerated model development for real-world impact.

The panel explored how AI is tailored for secure, continuous, and compliant use, spotlighting advancements that enable mission-aligned deployments, rapid retraining cycles, and real-time monitoring. Key discussions included Project AMMO’s maturation into an Indo-PacCom-ready capability, strategies for delivering high-performing, explainable models to edge environments, and cutting retraining cycles from months to days through collaborative workflows. The speakers also shared lessons on what works—and what doesn’t—when applying AI across diverse operational use cases.

Key takeaways included:

Maturing Project AMMO for Indo-PacCom and its path to Navy-wide adoption.
Deploying secure, explainable AI models with continuous monitoring and governance.
Reducing model retraining time through streamlined, collaborative MLOps.
Navigating challenges and successes in operational AI use cases.