Synopsis: In this Techstrong AI Leadership Insights video interview series, Amanda Razani speaks with Kevin Kamel, VP of product management at Selector, about AI-driven event intelligence solutions.

In this insightful interview, Amanda Razani welcomes Kevin Kamel, VP of product management at Selector, to discuss the company’s role in transforming operational telemetry into actionable insights through AI-driven event intelligence. Kamel explains that Selector leverages machine learning to detect anomalies across customer networks, applications, and infrastructure, helping organizations identify emerging issues, perform root cause analysis, and streamline incident management. Selector’s integration flexibility allows businesses to consolidate tools or work alongside existing platforms like Elasticsearch or Splunk, enhancing visibility across the entire tech stack and enabling smoother operations.

Kamel emphasizes that Selector’s platform isn’t just aspirational but actively deployed today to help large enterprises manage complex systems more efficiently, addressing challenges like reduced team sizes and rising operational costs. A recent addition to Selector’s toolkit is a network language model—a custom-built AI assistant that interprets multilingual notifications and automates workflows. This innovative solution demonstrates how Selector helps businesses manage diverse operational environments at scale. The conversation wraps up with a forward-looking perspective, underscoring Selector’s commitment to delivering practical AI solutions today, equipping enterprises with the tools to stay ahead of operational challenges.