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Panel Discussion: Embracing Agentic AI: From Autonomous Goals to Enterprise Guarantees

on YouTube 01h 02m

Panelat TestMu Conference 2025 · 2025-08-19..08-21· [large-language-models, security]

speakers

name:Anjali Chhabra

linkedin:anjali-chhabra-nandwani-46b69010

name:Hemalatha Murugesan

linkedin:hemalatha-murugesan-6373451

name:Neelmani Verma

linkedin:neelmaniverma

name:Nilesh Yeola

linkedin:nilesh-yeola-641b7720

name:Prasad Siddaiah

linkedin:prasad-siddaiah-2976952

name:Rutvik Mrug

linkedin:rutvik-mrug-77888217

resources

video:https://youtu.be/hOCklO-Gw_8

slides:none on file

summary

Panel lists concrete wins and gaps: companies report 25–30% agentic workflows today, deploying impact‑based regression selection, RCA and defect‑triage agents, auto‑healing for flaky scripts, synthetic data provisioning and CI/CD integration. Measured outcomes include 35% maintenance reduction and 45–50% regression cycle cut, plus ~25–30% faster time‑to‑market and 3–4× faster device testing. Teams track 30+ fidelity metrics (accuracy, relevance, F1/ROUGE, hallucination/rogue scores), use supervisor agents and reinforcement learning, and rely on partners for observability, security and cloud scale.

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