Build Reliable AI Apps with Observability, Validations & Evaluations

🎥 From the MLOps World | GenAI Summit 2025 — Virtual Session (October 7, 2025) Session Title: Build Reliable AI Apps with Observability, Validations and Evaluations Speaker: Pratik Verma, Founder & CEO, Okahu AI Talk Track: Agents in Production Abstract: Only 5% of AI projects successfully reach production—but those that do deliver massive organizational impact and boost productivity for developers and users alike. In this session, Pratik Verma explores the core barriers preventing production readiness—brittle workflows, lack of contextual learning, and the inability to evolve with feedback. He demonstrates how observability, validation, and evaluation practices enable developers to overcome these challenges and build reliable, self-improving AI applications. Pratik also walks through how open-source observability and dev tools can be used to achieve test-driven, iterative AI development across Azure, AWS, and GCP, helping teams confidently move from prototype to production. What you’ll learn: • How to use test-driven, iterative development for AI applications • How observability and validation accelerate production readiness • How to integrate evaluations and user feedback loops to improve performance • How to build reliable, scalable AI systems in multi-cloud environments.