Ericsson
Discover 2 AI Use Cases & Implementations from Ericsson
Hyperscaler mix
See whether Ericsson's cases are powered by Microsoft, AWS, GCP, or multiple providers.
Reported outcomes
2 cases report measurable results
−77.5%
Time & speed
median · 2 metrics
+23.5%
Productivity & throughput
median · 2 metrics
+98%
Quality & accuracy
median · 1 metric
Medians of results published in Ericsson cases, normalized for comparability. See all benchmarks →
Technology snapshot
What Ericsson uses across visible cases
Capability flags and technologies mentioned in the indexed use cases on this page.
- Top use case
- Agent
- Tagged cases
- 2/2
- Tech names
- 17
Capability mix
All Use Cases (2)
Ericsson agentic rApp as a Service on AWS for autonomous RAN optimization
Ericsson describes an AWS-hosted rApp as a Service solution that uses agentic AI to automate RAN operations and optimization for communications service providers.The platform integrates with Ericsson Intelligent Automation Platform and O-RAN interfaces to coordinate specialized agents for anomaly detection, root-cause explainability, cell shaping, and uplink performance optimization.It is delivered as a multi-tenant SaaS offering through AWS Marketplace.
Ericsson agentic AI for autonomous RAN optimization using Amazon Bedrock Agents
Ericsson describes an agentic AI architecture for Radio Access Network optimization that uses AWS infrastructure and Amazon Bedrock Agents to coordinate specialized agents.The system includes a supervisor agent, cell anomaly detection, root-cause explanation, general and specialized optimization, and a natural-language 'Talk to Network' interface supported by RAG and visualization/reporting.