Conf42 MLOps 2025 - Online

- premiere 5PM GMT

MLOps at Scale: Operationalizing AI-Driven Network Intelligence in Production Telecom Environment

Abstract

From 25TB daily chaos to 99.999% uptime: How we deployed ML models that saved $3.2M, cut failures 73%, and process millions of telecom events in real-time. Learn battle-tested MLOps secrets that transformed reactive firefighting into predictive excellence at enterprise scale.

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Ajay Averineni

Lead Application Developer @ IBM

Ajay Averineni's LinkedIn account



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