Sandhya Ramadasan

Principal Software Engineer Oracle

Tuesday, June 9, 2026: Main Day One

2:10 PM Agentic AI That Sticks: Turning Experiments into Enterprise Value

Explore why some agentic AI solutions move beyond early excitement and become part of real work, while others remain interesting experiments. Hear practical lessons on how high-value use cases are identified, how early ideas are validated, and what design choices help agentic AI become useful, repeatable, and sustainable in practice.

The session will also cover what makes these systems effective once they move closer to real-world use: what worked well and what needed refinement, how value can be measured in meaningful ways, and what organizations need to think about as they move from experimentation toward broader scale. The goal is to offer a grounded view of what helps agentic AI deliver lasting impact, not just a strong first impression.

Key Takeaways:

How to identify and validate high-value agentic AI use cases
What separates an impressive demo from a solution people actually keep using
Design choices that improve usefulness, reliability, and adoption
What worked well, what needed iteration, and what I would do differently
Metrics that help show real value
What it takes to scale agentic AI in enterprise environments

Check out the incredible speaker line-up to see who will be joining Sandhya.

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