Deep Brain AI
Deep Brain AI

Deep Brain AI announced on the 4th that it will supply the 'AI Banker' solution to Hana Bank's mobile app Hana 1Q (Hana OneQ). This is the first case of AI human technology being applied to a mobile app in the domestic financial sector.

Deep Brain AI's AI human solution is based on conversational artificial intelligence technology that combines voice/video synthesis, voice recognition technology, and natural language processing. With self-developed GAN algorithm and deep learning-based image synthesis technology, lip sync, movement, and facial expressions are realized naturally to create a model similar to a real person.

Deep Brain AI explained that it made various efforts to produce a high-quality AI banker. First, the number of sentence recordings required for AI human voice implementation has been increased from 300 to more than 400, using the announcer Heo Song-yeon as a model. We added sophistication to our own scripts optimized for the financial sector.

In order to respond appropriately to various situations, the naturalness was maximized by combining 2 costumes and 5 movements to create a total of 10 gestures.

Hana Bank plans to use the AI ​​banker as a role of providing briefing services in two menus, 'Hana Add' and 'Fund Mall (Fun#)' within Hana OneQ.

In the future, it plans to expand the scope of application to △financial product description △non-face-to-face product subscription guide △consultation service △basic (inquiry/transfer) banking transaction △super-personalized asset management service.

Se-young Jang, CEO of Deep Brain AI, said, “This AI banker supply is the first case of introducing AI human to a mobile app in the financial sector, and it is even more meaningful as it is the first supply case using the recently developed AI human production solution for mobile.” “Future CS consultation We will do our best in research and development to expand the AI ​​human business into various service areas within smart banking such as , chatbot connection, and information reporting.”
 

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