Operationalize generative AI to improve efficiency at your agency

Agencies are rapidly investing in AI and machine learning (ML) to enhance mission readiness and operational efficiency. However, fragmented data ecosystems, governance complexities, and uncertainty on how to move from pilot to production can present challenges to scaling AI effectively.

This session will showcase how a unified MLOps platform and strategy can provide a scalable and secure foundation for operationalizing AI.

Key Takeaways Include:

• Mission-Driven AI Scalability – Learn how to seamlessly integrate AI across mission-critical operations, balancing speed, security, and accuracy.
• Flexible & Secure AI Infrastructure – Explore scalable MLOps solutions that eliminate inefficiencies caused by siloed systems and legacy infrastructure.
• Dynamic Model Adaptation – Leverage the ability to switch between multiple LLMs and vector databases to optimize performance for different mission scenarios.
• Trusted AI for Decision Superiority – Ensure AI models deliver precise, explainable, and actionable insights for both mission and operational use cases.