- Telecommunications have become a key service due to social distancing and selfisolation with Covid-19
- Family, friends and workmates are at a distance, generating extra voice and data traffic in video-conferencing (Skype, Zoom and others), changing the behaviour and traffic patterns applying prior to Covid-19. Social network channels are brimming with news. People communicate much more than in ordinary times. Also staying at home means people watch more TV and video on demand, not to mention the growing us of telemedicine packages.
- The internet is our lifeline of communication, and operators are working harder than ever to keep it healthy, available and responsive to the needs of mobile and landline subscribers
- Manual traffic monitoring is sometimes unsophisticated and is liable to miss important data. Predictive maintenance with real-time monitoring of network faults, congestion, availability and failures along with traffic trends is key to enhancing service availability and assuring users’ quality of experience (QoE)
- Thales Guavus-IQ provides operators with AI-based network analytics and operational capabilities as well as machine learning (ML) for predictive maintenance
- Our software offers real-time monitoring, automatic fault detection and correlation of network event data. It reduces diagnostics time and prevents incidents affecting service availability, thereby minimising financial impact
- Our technology also enhances users quality of experience by allowing root causes to be identified, whether issues with the network platform, user/device behaviour or a change in the OTT (over-thetop) service, and guides operators in record time to resolve the issue by giving customers a customised response