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Sber expects financial effect from GigaChat network use

"We plan to receive at least ten bln rubles of the financial effect from the GigaChat use in the business," First Deputy Sber CEO Alexander Vedyakhin said

MOSCOW, November 20. /TASS/. Sber expects the financial effect from the use of the GigaChat neural network in business at the level of at least ten bln rubles ($113 mln), First Deputy CEO of the Russian bank Alexander Vedyakhin said.

"We plan to receive at least ten bln rubles of the financial effect from the GigaChat use in the business," the banker said.

On April 24, Sber released its own version of the GigaChat neural network, capable of answering questions of users, maintaining a dialog, writing a program code, and creating texts and images based on descriptions as part of a common context.