The Infosys Communications, Media and Entertainment practice offers
Insights-as-a-Service by leveraging open source technologies and components. Our analytical algorithms
help networks engage the right customer with the right service portfolio at the right time.
Data-driven operations deepen subscriber engagement. Our models
consume diverse data, such as demographic, billing, usage (plan / product / content), mobile / IoT device,
social sentiment, call log, and servicing equipment / asset data, to provide predictive insights into customer churn,
quality of service, network maintenance, marketing campaigns, and revenue leakage.
Our library of proven analytical use cases and ready-to-use models helps carriers
monetize network assets while managing spikes in demand for bandwidth. Significantly, insights into the cause of network
latency and drop in customer satisfaction enable remedial
action to enhance the experience and maximize investment in infrastructure.
Infosys conducts joint research with the Institute for Computation &
Mathematical Engineering (ICME), Stanford University, to apply data science and analytics for addressing business issues.
Our team of 200+ analysts and data scientists and 500+ big data technology experts combine machine learning and design
thinking to help telecom networks launch products, reduce data packet loss,
rationalize maintenance, and plan capacity expansion.
