LIMASSOL, CYPRUS: TCS Group Holding, Russia’s leading provider of online retail financial and lifestyle services via its Tinkoff.ru financial ecosystem, Thursday introduced Оleg, the world’s first voice assistant created in Russia for finance and lifestyle-related tasks. His mission is to help users navigate within the Tinkoff ecosystem, make customers’ lives simpler and become a friend who is always nearby. [the_ad id=”31605″]Oleg is the first voice assistant built by a financial institution as a proprietary solution. Oleg lives in the Tinkoff mobile app and is able to recognise and interpret different user commands, ask follow-up questions, solve problems and speak on a variety of topics. Oleg will help customers use their voices to manage all the key financial and lifestyle services in the Tinkoff ecosystem.
- In its first version, Oleg will be able to:
- Transfer money to accounts at Tinkoff Bank and Sberbank
- Make restaurant reservations
- Book beauty salon appointments
- Buy cinema tickets with a cashback offer of 15%
- Search for discounts on products and services
- Converse on various topics
- Give useful advice and lifehacks from the Tinkoff Journal
- Consult on banking and stocks
- Manage financial products (debit and credit cards)
- Change personal information in the Tinkoff ecosystem
- Request and email documents (such as bank statements for embassies)
In the future, Oleg will become even more capable and integrated into all the elements of the Tinkoff ecosystem, including travel, mobile, investments, insurance, entertainment, business and Tinkoff Junior.
Oleg will also be able to identify a user’s voice using biometric data and carry out commands that currently require authorisation within the Tinkoff app. This will enable users to carry out such tasks as transferring money while driving a car.
Oleg is set to solve the majority of customer issues automatically. He will also be able to use some help from call centre staff to resolve the issues he can’t solve alone.
Oleg is training and learning using Tinkoff’s supercomputer (the Kolmogorov cluster) capacities, one of Russia’s most powerful supercomputers. With the help of the voice assistant the Tinkoff team will be able to increase the speed with which it trains the neural networks for speech recognition and synthesis, natural language processing and open-ended conversation.
Deep neural network models and voice technologies, which Tinkoff has been working with since 2014 within its AI First strategy, were used to create Oleg. In 2016, Tinkoff has begun work on its own voice recognition technology. This technology works equally well with noisy speech received via phone channels and clear speech from high-quality sources.
Currently, this voice recognition technology allows Tinkoff to correctly identify up to 95% of spoken words and uses terabytes of data and tens of thousands of hours of human speech to continue to train and improve this technology. In 2017, Tinkoff launched its own biometric system, which makes the right decision in 99.99% of cases. In 2018, Tinkoff became the first vendor bank of the Unified biometric system in voice biometrics. That same year Tinkoff began developing its own voice synthesis technology, based on neural models such as WaveNet, Tacotron and Deep Voice. This allowed synthesised speech to come as close as possible to human speech.
Voice technology isn’t just for the voice assistant. It also enhances Tinkoff automate customer service processes. Voice recognition technology helps field around one million calls, while a biometric system, trained on customer voice data, helps the call centre combat fraud.