Agentic AI brings tremendous transformative potential. These purpose-built tools are designed to manage discrete automatable tasks, “learn” from their work and get progressively better at it over time.
When agents learn, they become capable of providing even more value and utility. And when agents are composed of multiple component systems, their capacity to learn is exponentially greater. In this way, agents are an increasingly important avenue for agencies working to operationalize AI in ways that meet and even transform the mission.
In the recorded webinar, Finch AI Chief Scientist Scott Lightner and Data Science Architects Bob Flagg, PhD and Mike Freeman, PhD host an in-depth discussion on agentic AI. This discussion covers the risks, the opportunities and the ways they’re being used right now to add greater context and depth to complex analytics missions.
You’ll learn:
- What agentic AI is (and isn’t)
- How agentic AI can accelerate analyst workflows
- How to use AI agents effectively and efficiently
- relationships that may signal foreign influence risk
- Best practices for ensuring you get the most out of agentic AI in your environment
Don’t miss this opportunity to understand how AI agents learn, adapt, and enhance productivity when it matters most.
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