From Black Box to Glass Box: Observability for Scalable AI Systems

Description

As AI systems grow in complexity, observability is no longer optional—it's mission-critical. In this expert-led session, we break down the two essential pillars of modern AI observability: Data Observability, ensuring high-quality and reliable data pipelines, and AI Model Observability, creating transparency and accountability in model behavior. Join industry leaders from Revefi, Dollar General, Verizon Business, and Monte Carlo as they explore how organizations can build scalable, trustworthy, and fully monitored AI systems. 🚀 What You’ll Learn ✔️ Data Pipeline Monitoring: How to ensure your AI systems run on dependable, high-integrity data ✔️ AI Model Transparency: Tools and techniques for monitoring, explaining, and governing model performance ✔️ Integrated Observability: How to bridge data and AI observability for end-to-end oversight and resilience 👤 Featured Speakers • Girish Bhat, SVP, Revefi • Sachin More, Director of Application Engineering, Dollar General Corporation •Don Spaulding, Senior Innovation Advisor, Verizon Business • Michael Segner, Product Marketing, Monte Carlo If you found this session valuable, subscribe to our channel for more AI, data engineering, and enterprise innovation content!