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Company / Competitor

Ericsson

Mentioned in 18 AI use cases across 1 industries

Active Industries

telecommunications18

AI Patterns

Predictive and reactive service assurance: detect, analyze, resolve, and pre-empt complaints in a closed loop.1Event detection + pattern clustering + incident classification + rule/algorithmic closed-loop action1Hybrid cyber-physical monitoring using virtual simulation plus embodied AI inspection1sequential decision-making under feedback1

Tech Stack

Closed-loop automation/orchestrationReinforcement learning algorithmRAN environment/simulatorNetwork performance reward signals5G networksAI algorithmsAdvanced mobile network architecturesBase stations

Also Competes With

NokiaHuaweiAmdocsNetcrackerCiscoZTEJuniper NetworksIBM

Use Cases Mentioning Ericsson

telecommunicationsPredictive and reactive service assurance: detect, analyze, resolve, and pre-empt complaints in a closed loop.

Core network fault and complaint handling with autonomous agents

AI agents help core network teams spot problems, resolve them faster, and even prevent some customer complaints before users notice.

telecommunicationsEvent detection + pattern clustering + incident classification + rule/algorithmic closed-loop action

Shutteador closed-loop flapping remediation

It watches for network ports that keep turning on and off, figures out what kind of failure pattern is happening, and automatically applies the right fix without waiting for an engineer.

telecommunicationsHybrid cyber-physical monitoring using virtual simulation plus embodied AI inspection

Digital twin control center monitoring with LLM-powered inspection robot

LG Uplus built a virtual copy of its telecom control centers and uses an AI-powered robot to inspect equipment and collect data automatically.

telecommunicationssequential decision-making under feedback

RL-based radio access network parameter optimization training for 5G/B5G

Use reinforcement learning to teach network-control software how to adjust radio network settings by trial and feedback so the mobile network performs better.