Complements the network lifecycle automation powered family of Automated Assurance & Operations solutions that now covers all voice services, across fixed and mobile networks Paris, France – 20th December 2022 – Infovista, the global leader in network lifecycle automation, announced today the availability of its 360° Assurance for VoLTE/VoNR solution, part of the 360° Assurance family of solutions powered by Ativa™. Along with its 360 Assurance for Fixed Voice solution, this now means that Ativa™ customers can implement 360° Assurance across both fixed and mobile voice services. The 360° Assurance…
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Summa Networks and X2ONE shortlisted for Best Digital Tech Breakthrough for voLTEinabox
Summa Networks and X2ONE have partnered to jointly develop voLTEinabox, an integrated, fully virtualized, and cost-effective VoLTE / VoWiFi solution which has now been shortlisted for Best Digital Tech Breakthrough at the GLOMO awards. Madrid/Tel Aviv, 9 February 2022 – Summa Networks and X2ONE have been shortlisted for Best Digital Tech Breakthrough (companies under $10M Annual Global Revenue) at the GLOMO awards. The companies received the nomination for their integrated, fully virtualized, and cost-effective VoLTE / VoWiFi solution: voLTEinabox. voLTEinabox is a simple plug&play VoLTE and VoWiFi solution that makes…
Read MoreInfovista announces sQLEAR as world’s first machine learning-based standard for 5G VoNR voice quality testing approved by ITU
Innovative ML-based algorithm enables unique network-centric prediction of voice quality of experience reducing cost and time to market of new 5G voice services Paris, France – December 2nd, 2021 – Infovista, the global leader in network lifecycle automation (NLA), today announced that its sQLEAR machine learning-based algorithm has been approved by ITU for QoE testing of mobile all-IP voice services, including Voice over LTE (VoLTE), Voice over New Radio (VoNR) and OTT voice. The sQLEAR algorithm (speech Quality by machine LEARning) is the world’s first ML-based standard for voice quality…
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