Redefining Cloud Communication with Real-Time AI for Performance and Security

About the Session

As cloud-native communication platforms evolve, AI is ushering in a new era of real-time decision intelligence. This session explores how machine learning, deep learning, and reinforcement learning are transforming communication systems into adaptive, context-aware ecosystems. Drawing on real-world use cases, we'll examine intelligent call routing, sentiment-aware support, and predictive network optimization under high-load conferencing demands. We'll also discuss enabling architectures such as edge AI, stream processing, and federated learning that make real-time, low-latency decision-making possible. The session delves into how AI strengthens security through anomaly detection, automated incident response, and continuous identity verification while privacy-preserving techniques like differential privacy ensure data protection and regulatory compliance. Finally, we explore real-time personalization: how AI dynamically adapts interfaces, formats, and delivery channels to create intuitive, secure, and human-centric communication experiences. Whether you're optimizing user engagement or building next-gen infrastructure, this talk provides actionable insight into how real-time AI is shaping the future of digital communications.

Speaker

Harpreet Paramjeet Singh

Principal Software Engineering Manager at Microsoft Corp.