Bhavya Raoulji: Using AI to Improve Reliability and Scale in Real-Time Communications

The telecommunications and real-time communications industry operates under strict latency, availability, and reliability requirements. Even small performance issues can lead to dropped calls, poor audio quality, or service outages.

This talk focuses on how AI can be practically applied within real-time communication systems (VoIP, messaging, and event-driven platforms) to improve system stability and operational efficiency. It explores real-world approaches to using AI for anomaly detection, traffic prediction, intelligent alerting, and automated scaling without disrupting critical real-time workflows.

Key topics include:

AI-driven detection of call quality degradation and traffic anomalies

Predictive insights for handling peak load and sudden traffic spikes

Intelligent observability using metrics, logs, and traces

Automating operational decisions while maintaining low latency and high availability

Lessons learned from applying AI in production telecom environments

Attendees will gain actionable insights into how AI can enhance not replace core engineering practices in real-time communication platforms.

‍