

Datadog CEO Olivier Pomel on AI Security, Trust, and the Future of Observability
56 snips Apr 1, 2025
Olivier Pomel, CEO of Datadog, is a key figure in the observability space, overseeing the integration of AI in cloud computing. He shares insights on the evolution of observability and the security challenges faced by AI applications. The conversation dives into building trust in AI, highlighting the high expectations users place on accuracy. Pomel also discusses advancements in deep learning for anomaly detection and the importance of user-centric development in software. His expertise sheds light on navigating the complexities of AI's rapid evolution and its implications for organizations.
AI Snips
Chapters
Transcript
Episode notes
Observability Defined
- Observability is the modern evolution of monitoring, encompassing a wider scope.
- It aims to understand an app's performance, behavior, and business impact.
AI's Opportunities in Observability
- AI presents opportunities at every level of the observability stack.
- These include monitoring AI-powered apps, apps built on models, and automating tasks.
Precision over False Positives
- Strive for high precision in observability tools to avoid user distrust.
- Two false positives can lead to users abandoning a tool entirely.