Introducing Streamhouse: the open data architecture for AI | Learn More
Ingest and process real-time customer, device, and network data to proactively detect and resolve issues. Save customers from service disruptions and reduce support ticketing and escalation costs.
For telecommunication companies (telcos), network downtime and customer support can cost billions of dollars per year. Leverage Confluent’s data streaming platform to scalably handle petabytes of data daily across millions of devices, continuously monitoring customer and network health. Process telemetry data in real time—customer activity, device status and throughput, network, radio technology, cell tower, etc.–and train machine learning (ML) models to identify software and network irregularities before they cause disruptions.
Save time and costs across customer service, ops, architecture and engineering teams in radio network, core network, and underlay network.
Increase customer trust and satisfaction.
Improve mean time to recovery (MTTR) and ensure SLAs.
This use case leverages the following building blocks in Confluent Cloud.
Streaming Architecture
Data Architecture