Inside PX42: The Next Evolution of Observability – Business Health, Reinforcement Learning, and the Future of Enterprise Control

In this episode of Inside PX42, Charles Skamser, Edward Hamilton, and Catherine Spencer explore why today’s leading observability platforms still fall short of what executive leaders and boards truly need in the AI Agent era. Traditional observability provides visibility into infrastructure, applications, and digital experiences—but not a real-time, 360° view of overall business health.The team traces the evolution of observability from logs, metrics, and traces to modern telemetry platforms and the rise of OpenTelemetry, which is steadily commoditizing data collection and low-level signals. Building on this foundation, they introduce the concept of a new business observability layer that fuses business, operational, and customer signals to provide real-time business health, a 24-hour predictive outlook, and concrete recommendations for course corrections.Charles, Edward, and Catherine explain how PX42 is working with partners like UBIX to apply reinforcement learning and multi-agent systems on top of existing observability and data platforms, transforming them into intelligent business control planes. They discuss PX42’s intent to partner with current observability leaders—while also outlining how, if incumbents won’t collaborate, PX42 will deliver its own business-health layer that effectively relegates traditional observability to a commodity data and telemetry source in the enterprise stack.