Unlocking the Power of Data in Telecom: Building an Effective MLOps Infrastructure for Model Deployment

The telecom industry is experiencing a data revolution, with vast amounts of data being generated from various sources such as customer interactions, network logs, and sensor data. To leverage the power of this data and gain a competitive edge, telecom companies are increasingly turning to machine learning models for various tasks. However, deploying and managing these models at scale is a complex and challenging task. This paper explores the construction of an effective MLOps infrastructure for model deployment in the telecom industry. It discusses the architecture, tools, and components involved in establishing a scalable and robust infrastructure. The paper also addresses industry-specific challenges such as real-time data processing and compliance requirements. The paper provides telecom professionals with a comprehensive guide to unlocking the potential of data through MLOps, enabling innovation and a competitive edge in the telecom sector.