Data Ingestion Architecture For Telecom

A fast-growing number of business processes and applications rely on data-driven decision-making and telecom artificial intelligence (AI). As new technologies emerge that make it possible to extract additional value from collected data, the opportunities for enhanced analytics and data-driven, AI-powered decision-making continue to expand. To fully capitalize on collected data, communication service providers need data pipelines that are based on a harmonized data ingestion architecture.

The purpose of data pipelines is to facilitate access to high-quality data for applications ranging from network management and customer experience management (CEM) to business analytics, product serviceability, artificial intelligence (AI)/machine learning (ML) model training, tailored service offerings and AI for Internet of Things solutions.