Ms. supraja chinthala

Generative AI for Network Diagnostics in 5G

Abstract:

5G networks generate unprecedented volumes of telemetry and event data, yet enterprises continue to struggle with transforming this raw information into timely, actionable insights. Traditional monitoring and rule-based systems often fall short when faced with the scale, velocity, and complexity of modern telecom infrastructure. Generative AI offers a new paradigm—moving beyond static dashboards to intelligent systems that can interpret logs, predict failures, and automate diagnostics with context awareness.This talk examines how GenAI models can be integrated with event-driven architectures to deliver proactive service assurance, predictive maintenance, and faster incident resolution. We will showcase real-world telecom case studies where GenAI-driven diagnostics significantly reduced mean time to detect (MTTD) and mean time to resolve (MTTR), while lowering operational costs and improving customer experience.By embedding generative models into network management workflows, telecom providers can transition from reactive troubleshooting to intelligent, self-healing ecosystems. Attendees will walk away with a product roadmap for enabling GenAI in 5G operations—highlighting architectural patterns, integration strategies, and governance considerations that make AI-driven network diagnostics reliable, scalable, and enterprise-ready.
 

Profile:

Supraja Chinthala is a Data Product Management professional with a strong background in the pharmaceutical and telecommunications industries, specializing in the integration of AI, ML, and GenAI into enterprise-scale systems. She has led initiatives in data governance, process automation, and event-driven architectures, delivering solutions that improved compliance, reduced operational overhead, and enhanced customer engagement.In her role as Product Owner, Supraja has championed the creation of AI-enabled data platforms, enabling predictive analytics, synthetic data for privacy-preserving AI, and intelligent workflows across regulated environments. Her work bridges the gap between business vision and technology execution, ensuring data products deliver measurable business outcomes.Supraja is also an active contributor to AI and product management research, presenting at international forums and collaborating on industry publications. She is passionate about advancing ethical AI adoption, empowering organizations to responsibly scale GenAI while fostering innovation and trust in data-driven systems.