RADCOM Drives Cost Savings for 5G Network Operations with AI-Powered Analytics for Automation
RADCOM Ltd. (NASDAQ: RDCM) announced the launch of its AI-driven Virtualized Network Operations Center (vNOC), utilizing the latest RADCOM ACE solution to enhance automated network management. This innovation aims to improve end-user experiences and drive cost efficiencies by employing advanced AI analytics for anomaly detection and root cause analysis. Key benefits include optimized service quality for various applications, including 5G roaming and IoT, while significantly reducing operational costs. The vNOC leverages Machine Learning and generative AI, offering a proactive approach to network diagnostics and management. RADCOM showcased this technology at the Mobile World Congress in Barcelona, held from February 27 to March 2, 2023.
- Introduction of AI-driven vNOC enhances automated network management and customer service.
- Improves first-time resolution rate through anomaly detection and root cause analysis.
- Offers cost savings in OPEX and CAPEX for telecom operators.
- Utilizes Machine Learning for proactive network insights and diagnostics.
- Dependence on evolving technology may pose risks regarding timely developments.
- Potential market share loss and competitive price pressure may impact revenue.
The vNOC powered by AI-driven analytics resolves customer-affecting issues through anomaly detection and automatic root cause analysis, drastically improving the first-time resolution rate. This helps drive down costs and make network teams more efficient while improving customer services. AI-driven analytics can also intelligently monitor and enhance premium services like roaming, private networks, video streaming Fixed Wireless Access (FWA), Internet of Things (IoT), and Voice over New-Radio (VoNR) while saving significant operational costs.
"5G network complexity has increased the need for automation and advanced AI-driven analytics," said
The latest version of RADCOM ACE delivers comprehensive Machine Learning (ML) based 5G network diagnostics, extensive root cause analysis automation, and proactive network insights, identifying and resolving network anomalies to boost NOC/SOC operations. It offers operators an ML-based approach for the
By using General Adversarial Networks (GAN), RADCOM ACE unlocks the power of generative AI for network analytics and improves the proactive analytics that feeds the vNOC. The solution generates synthetic data as an alternative to real network data to train and strengthen AI models for advanced 5G use cases and deliver new use cases.
Some of the new use cases offered by the virtual network operations center platform include the following:
- Saves OPEX and reduces mean time to resolution by using AI-powered analytics that detects anomalies and automates operational workflows for 5G.
- Optimizes proactively premium service quality for roaming, RAN, IoT, FWA, VoNR, VoLTE, and more.
- Integrates assurance into the public cloud to automate end-to-end service and network lifecycle management while improving the service quality.
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917-607-8654
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Company Contact:
CFO
+972-77-774-5011
hadar.rahav@radcom.com
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