Uploaded July 2026 | Updated September 2026, 1 week ago
In this presentation segment, Stephen Ochs outlines how Selector AI pioneered an AI-and-ML-first framework to bridge the historical visibility gap in network environments long before the generative AI wave. By focusing on a data-centric model rather than traditional software-first observability setups, Selector AI built an automated engine that cross-correlates telemetry across application, infrastructure, and cloud layers. This design delivers definitive root-cause identification in seconds, putting an end to standard multi-department finger-pointing during critical outages. #SelectorAI #AIOps #NetworkTelemetry #RootCauseAnalysis #MachineLearning #CloudInfrastructure #NetworkObservability
In this presentation segment, Stephen Ochs outlines how Selector AI pioneered an AI-and-ML-first framework to bridge the historical visibility gap in network environments long before the generative AI wave. By focusing on a data-centric model rather than traditional software-first observability setups, Selector AI built an automated engine that cross-correlates telemetry across application, infrastructure, and cloud layers. This design delivers definitive root-cause identification in seconds, putting an end to standard multi-department finger-pointing during critical outages. #SelectorAI #AIOps #NetworkTelemetry #RootCauseAnalysis #MachineLearning #CloudInfrastructure #NetworkObservability
