Olivier PomelCo-Founder & Chief Executive Officer, Datadog, Inc. (DDOG)
6 recorded appearances
Pomel told Amish Jani his biggest risk is unchanged at billions in revenue — building the wrong thing — and that because AI compresses development time, companies get less signal about where the market is going and must get comfortable being wrong faster.
Using Datadog's view across much of the world's production software, Pomel separated real AI workload growth from hype and described how observability itself is being rebuilt for AI systems.
Pomel and Delangue argued openly shared models are doing for AI what open source did for software, and discussed how enterprises are actually deploying and governing them.
The two co-founders retell the dev-vs-ops problem that produced Datadog and connect it to what the platform is being rebuilt for in the AI era.
Pomel argued teams now spend more time running applications than building them, and that trusting AI-driven automation in mission-critical systems requires observability strong enough to verify it.
Pomel traces finding product-market fit through integrations, the decision to stay independent through the 2019 IPO, and scaling and go-to-market lessons along the way.