December 2-3, 2025 l Free CX Network Webinar Series
Seshendranath Balla Venkata is a seasoned leader with over 14 years of experience in data engineering, machine learning, and MLOps, specializing in scalable architectures for streaming analytics and network reliability solutions. As Senior Manager of Software Development at Comcast, he leads high-performance teams that design and implement cloud systems delivering real-time insights for OTT platforms and broadband infrastructure serving millions of subscribers.
With deep expertise in MLOps and LLMOps, Seshendranath has architected secure AI deployments that power predictive modeling for network outage detection, customer analytics for streaming services, and session-based data platforms that ensure seamless digital experiences. His AWS optimization and system modernization work has reduced network outage detection time by 60% while improving streaming performance across multiple platforms.
A recognized thought leader at industry conferences and in technical publications, he bridges hands-on engineering experience with strategic vision. His unique perspective comes from managing the intersection of massive-scale streaming infrastructure and critical network operations at America's largest broadband provider. He brings readers battle-tested strategies for building AI-powered systems that keep millions connected and entertained.
Day Two
10:00 AM How AI is enabling the hyperpersonalized CX of the future
Broadband and cable providers serve millions of customers with diverse needs (and technical setups). Meeting those expectations consistently and efficiently is no small feat — and it’s here that AI is transforming how the industry delivers and supports its services.
In this session, Seshendra Balla, Senior Manager, Data and Machine Learning at Comcast will share his experiences using large language models (LLMs), retrieval-augmented generation (RAG), and predictive analytics to create hyperpersonalized CX at scale. In this session, we will discuss how AI can achieve fewer IVR calls, faster resolution times and more relevant customer interactions with onboarding chatbots that recognize devices and can guide users through setup and a customer scoring models that help service agents anticipate customer needs and identify tailored offers.
Attendees will learn:
- How to identify and prioritize high-impact AI use cases that solve real CX challenges.
- What it takes to operationalize personalization at scale using LLMs and customer data.
- How predictive scoring and AI-driven insights can empower human agents to deliver more relevant, empathetic service.
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