Recorded live at FutureNet World 2026, this analyst interview features Thomas Nilsson, Chief Product Officer at Polystar, in conversation with Christopher Silberberg, Research Manager at IDC. Together, they explore how AI-driven assurance is transitioning from concept to implementation across telecom operations.
A key theme is the importance of strong data foundations. By breaking down OSS data silos and unifying network, service, and customer layers, operators can move beyond fragmented insights toward a holistic, real-time understanding of performance and customer impact.
This shift enables a transition from reactive monitoring to proactive, intelligence-led assurance.
Building the Foundation for AI Assurance
Effective AI-driven assurance starts with the right data strategy. Centralized, high-quality data allows operators to move from isolated alerts to meaningful, actionable insights.
Rather than reacting to alarms, teams can prioritize issues based on customer impact -understanding not just what is wrong, but who is affected and how it influences service quality. This customer-centric approach transforms assurance from a technical function into a strategic business capability.
Enabling Autonomous Network Operations
AI plays a critical role in advancing automation and enabling the journey toward autonomous networks. Through AI-powered reasoning and intelligent workflows, operators can streamline operations, reduce manual intervention, and respond faster to changing network conditions.
As AI-driven assurance continues to evolve, it empowers operators to improve efficiency, enhance customer experience, and deliver more resilient, high-performing networks.
Watch the video to gain expert insights into how leading telecom operators are turning AI-driven network assurance into a practical, scalable reality.
