RADCOM to Deploy AI Assurance Platform for CETIN Networks in Slovakia
RADCOM Ltd. will deploy its RADCOM ACE service assurance platform for CETIN Networks in Slovakia under a multi year contract, the company announced in a press release.
The deployment will replace CETIN's legacy assurance provider and place network visibility on one platform spanning the radio access network, voice services, and the mobile core. CETIN will use the system as it moves toward 5G Standalone, Voice over New Radio, and a cloud native core.
RADCOM ACE uses passive network probes to capture and correlate signaling data. The platform applies AI and machine learning for anomaly detection, radio access network experience analytics, voice quality assurance, and subscriber level troubleshooting.
CETIN also plans to use the platform for service level agreement and performance monitoring for wholesale and key account customers. The system supports data export and integration with operations support systems, business support systems, business intelligence tools, and external analytics systems.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Oct 1 SmartAC Launches Gen2 HVAC Sensor and Intelligence Model Oct 1 Workday Launches UAE Operations With Dubai Office Oct 1 SearchTides and Needle Partner on AI Search Visibility Oct 1 eMazzanti Plans ASPIRE 2026 AI and Cybersecurity Conference in New York Oct 1 OneMagnify appoints Elan Elango as technology chiefEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
PCI unveils AI rail inspection systems at InnoTrans 2026
Orange to Test Nokia AI-RAN in Live Network
Verkada Adds Fleet, Sound and AI Integrations to Security Platform
Centric Software Unveils Centric AI for Product Decisions
Telit Cinterion to Demo Automated Robot Fault Recovery at IMTS 2026
Daily AI Brief: the AI news that matters, in your inbox.