Speaking Engagement: Beyond Correctness – Evaluating RAG Pipelines for Enterprise Production Readiness
Blog post description.
AWARDS AND RECOGNITIONS
9/15/20261 min read
I was honored to serve as a Distinguished Speaker for the IEEE Computer Society Florida West Coast Section webinar.
The session focused on a critical frontier in modern enterprise AI: moving past basic functional accuracy to ensure Large Language Model (LLM) and Retrieval-Augmented Generation (RAG) applications are robust, reliable, and ready for high-stakes enterprise production environments.
Key Takeaways from the Session:
Beyond Basic Metrics: Why standard correctness metrics fall short when deploying RAG systems at scale.
Production Readiness: Evaluating system reliability, latency, context relevance, and hallucination risks.
Enterprise Standards: Practical frameworks for testing and validating AI pipelines before deployment.
Thank you to Antra Malhotra (Chair, IEEE Computer Society Florida West Coast Section) and everyone who attended for an engaging discussion on the future of enterprise AI systems!