Sber introduced SmartBadge, a new device for analysing employee-customer communications, at the St. Petersburg International Economic Forum. Designed by SberDevices, SmartBadge integrates seamlessly with the Speech Technology Center's speech analytics system. The SmartBadge system incorporates portable dialogue-recording devices (badges) with e-ink display, a docking station for charging up to five badges and downloading recorded data, as well as software for secure remote management, diarising records and exchanging data with the speech analytics service.
23 April 2021 — Moscow — The Speech Technology Center and Credit Bank of Moscow (MKB) summarise the preliminary results of introducing speech analytics for quality control of the services offered by MKB's contact centre.
14 April 2021 — Moscow — The Speech Technology Center provided its Customer Engagement Platform to Sberbank in Kazakhstan to create smart robots powered by artificial intelligence.
1 April 2021, Moscow — The voice assistant recently launched by VTB in its mobile bank app employs tech provided by Speech Technology Center. This assistant is intuitive and easy to use thanks to an integrated suite of technologies provided by Speech Technology Center. It includes automatic spontaneous speech recognition, natural language processing and understanding (NLU), and speech synthesis. Customers will now be able to get their questions answered or necessary operations executed in a matter of seconds by speaking to the assistant.
15 March 2021 — The Speech Technology Center and the Samolet Group are implementing the first voice biometrics project in the development industry to identify customers by voice in order to improve the quality of service in the call centre of the Samolet Group, a major developer in the Moscow region.
20 February 2021 — The Stavropol State Agrarian University (SSAU) became the first university in Southern Russia to deploy a biometric face recognition system from Speech Technology Сenter.
This was a joint project implemented by Sberbank and SSAU. For several years, Sberbank has been the partner of the university, including for the implementation of the SSAU campus project.
25 December 2020, Moscow — The Speech Technology Center has begun to implement an intelligent speech analytics system to monitor the quality of service in the sales call centre of Samolet Group, a major developer in the Moscow region and one of Russia's Top 10 developers in terms of current construction volumes. Its project portfolio exceeds 15 million m2.
Speech Technology Center, together with the Moskovsky Bank of Sberbank and the team of Moscow Metro, introduced a chatbot for passengers. During testing in a focus group, the virtual text assistant automatically processed 75% of inquiries, without transferring them to human operators. From 17 November, the virtual assistant is running in commercial operations, where it achieved 88% automation. The bot is available through the Moscow Metro app.
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 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.
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