2 December 2020, Moscow — Speech Technology Center and Raiffeisenbank have successfully migrated to a new version of speech analytics to monitor the quality of call centre services. The solution provides 24/7 assessment of the volume and thematic distribution of the centre's hotline calls and chat channels, enabling the transition from selective analysis of dialogues to an analysis of the entire flow of interactions for a specific period.
Speech Technology Center (part of the Sberbank ecosystem) has delivered its 70th project to implement the Smart Tracker FRS at transport facilities in Russia, confirming its leadership in the number of installations of this development in the country. Another implementation was the launch of the Smart Tracker FRS biometric system at the Bugulma Airport (Tatarstan).
This system is already installed at transport infrastructure facilities throughout Russia: metro, transport hubs, bus and railway stations. The solution is applied in Moscow, St. Petersburg, Sochi, Nizhny Novgorod, Saransk, Yuzhno-Sakhalinsk and other cities. The biometric system integrated into the video surveillance system allows verification and identification of individuals, helps identify offenders and organise preventive protection measures. The system also makes it possible to record places of increased congestion and build and download reports based on this information. Based on the information received, decisions can be made to improve passenger comfort, for example, to optimise traffic flows. The Smart Tracker FRS combines a high-quality algorithm, digital video identification technologies and an engineering approach worked out as part of implemented projects. The solution makes it possible to differentiate between the data of open and closed segments of a corporate security system and ensures that the system complies with the technical requirements of each facility, along with reliable data protection.
India is facing a strong demand for efficient and highly scalable remote customer identification and contactless authentication to replace traditional approaches with accurate face biometrics for better safety and barrier free access control.
Biometric technologies have already proven their effectiveness in a wide range of tasks during the pandemic — from remote customer identification to comprehensive national security systems based on facial recognition; their scope is constantly growing.
22 September 2020 — Speech Technology Center has implemented a biometric face recognition system in the School of Economics and Commerce building at the Siberian Federal University (SibFU) in Krasnoyarsk. The face recognition system is part of a large-scale campus project. Siberian Federal University is one of the top five campus projects in the country, and the face recognition system provided by Speech Technology Center is one of the first to operate at a Russian university campus.
17 September 2020, Moscow. Speech Technology Сenter has implemented an intelligent speech analytics system to monitor the quality of service in the call centre of ForteBank JSC, a leading bank in Kazakhstan. Speech analytics has enabled 24/7 monitoring of the quality of conversations conducted by call centre operators and facilitated a transition from random checks to complete the assessment of all conversations.
We want to invite experts for dedicated webinar August 27, 2020, 12:00 PM (GMT +3:00) Moscow for railway networks including Subways safety with the implementation of advanced face recognition solutions.
During the webinar Oleg Glebov, a global business development expert, will share unique experience based on the ongoing safe city and safe transport projects in Russia.
VoiceBiometrics has been established as a key answer to current challenges and requirements for effective remote customer on-boarding, interaction, overall experience improvement while decreasing fraud and operational expenses.
Vara Technology and Speech Technology Center Bring in Details about Voice Biometrics and will share:
Technologies that transform the doctor's voice into the text (speech-to-text) allow healthcare workers to get rid of routine, save 22% of time on filling out protocols, and improve overall documents and diagnosis quality.
The solution is already working in the departments of radiological diagnostics of Moscow city medical centers.
A successful case scaling up to other regions of Russia.
We want to invite you for dedicated webinar August 13, 2020 around the overview of the implementation technical aspects for cost-effective digital onboarding and communication solution.
Company expert will share recommendations and comments following more than 30 years of R&D in the field of biometrics and unique scope of projects for finance industry in a way of voice/facial client identification.
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