Ericsson
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Ericsson has 3 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 2 countries.
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Hyperscaler mix
See whether Ericsson's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How Ericsson builds AI
Build / Buy / Compose across this company's documented cases
3 of 3 cases classified (100%) · Compare all use-case types
Use case portfolio
Use case types at Ericsson
Automotive operations automation leads with 2 of 3 documented cases; 2 distinct types appear across the visible portfolio.
Reported outcomes
3 cases report measurable results
+42%
Time & speed
median · 2 metrics
Medians of results published in Ericsson cases, normalized for comparability. See all benchmarks →
Technology snapshot
What Ericsson uses across visible cases
AI Agents appears in 3 of 3 indexed cases; 22 named technologies are mentioned, led by Amazon Bedrock.
Capability mix
All Use Cases (3)
Ericsson and AWS: cloud-native AI/agentic OSS/BSS for autonomous networks
Ericsson and AWS collaborate to deliver cloud-native, AI-powered modernized OSS/BSS for autonomous networks.Ericsson embeds more than 20 cloud-native Telco IT AI Apps across OSS/BSS and uses Amazon SageMaker, Amazon Bedrock, Amazon Bedrock AgentCore, Amazon Q, and Kiro for generative and agentic workflows.The article describes an Ericsson Telco Agentic AI Studio built on Amazon Bedrock, plus a Gen-AI Lab that helps fast-track ideas from experimentation to deployable products.
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.
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