Mr. Henry Cyril
AI-Driven Anomaly Detection and Self-Healing Architectures for Intelligent Telecom Networks
Abstract:
Modern telecom networks operate at unprecedented scale, processing hundreds of millions of provisioning and configuration transactions across distributed 5G and cloud-native platforms. Even minor inconsistencies or Network Element's degradation can rapidly escalate into customer-impacting failures, making reliability a central challenge for next-generation infrastructures. This talk explores an AI-driven framework that integrates anomaly detection, predictive outage modeling, and autonomous self-healing to significantly enhance the resiliency of provisioning ecosystems. By learning baseline behavioral patterns, detecting micro-failures in real time, forecasting degradation before it becomes service-impacting, and autonomously correcting inconsistencies, the proposed architecture shifts operators from reactive monitoring to truly intelligent, zero-touch operations. Real-world applications demonstrate improvements such as 99.9%+ provisioning accuracy, 40–60% faster recovery during failures, and up to 90% reduction in manual reprocessing. The session will highlight technical design principles, ML model strategies, distributed processing considerations, and readiness steps for 6G-era networks where AI-native operation, closed-loop control, and predictive automation become essential.
Profile:
Henry Cyril is a Principal Systems Architect and a leading innovator in large-scale telecom and cloud-native platforms. With nearly two decades of experience, he has designed next-generation provisioning systems, AI/ML-powered automation frameworks, and resilient distributed architectures that support millions of users and mission-critical network operations. Henry is an inventor with more than 20 patents spanning AI-driven anomaly detection, autonomous recovery, and intelligent network orchestration. His work bridges deep technical engineering with future-focused innovation, enabling operators to achieve higher reliability, faster activations, and self-healing network behavior. Henry is passionate about inspiring students and engineers to build the next era of intelligent digital infrastructure.