METHOD AND SYSTEM FOR MANAGING VIRTUAL ASSISTANTS

    公开(公告)号:US20180300337A1

    公开(公告)日:2018-10-18

    申请号:US15816970

    申请日:2017-11-17

    Applicant: Brillio LLC

    Abstract: Embodiments herein provide a method for managing virtual assistants. The method includes determining by a qualification management engine, the ability parameters associated with a plurality of VAs. Further, the method includes determining by the qualification management engine, a qualification level for each of the VAs based on the ability parameters associated with each of the VAs, where the qualification level indicates an ability of the VA to meet a user requirement. Furthermore, the method includes recommending by the qualification management engine, at least one VA from the plurality the VAs based on the qualification level associated with each of VAs.

    Method and electronic device for managing mood signature of a user

    公开(公告)号:US10453261B2

    公开(公告)日:2019-10-22

    申请号:US15494420

    申请日:2017-04-21

    Applicant: Brillio LLC

    Abstract: Embodiments herein provide a method for managing a mood signature of a user in an electronic device. The method includes obtaining a mood spectrum of the user, comprising a plurality of mood indicators representing differential mood states of the user. Further, the method includes creating a mood signature comprising a unique transcript of the mood indicators for the user, based on the mood spectrum and storing the mood signature in the electronic device.

    Artificial intelligence (AI)-assisted conference system

    公开(公告)号:US10389882B2

    公开(公告)日:2019-08-20

    申请号:US15910434

    申请日:2018-03-02

    Applicant: Brillio LLC

    Abstract: Embodiments herein provide a method for providing an Artificial Intelligence (AI)-assisted conference system. The method includes establishing an AI-assisted conference session with a plurality of calling applications associated with different domains. Further, the method includes determining an inactivity period in the AI-assisted conference session and recommend a topic content to the plurality of calling applications. Further, the method includes detecting a conflict between the plurality of participants associated with the plurality of calling applications and resolve the conflict using a conflict resolution. Furthermore, the method includes generating a visual artifact based on audio contents and textual contents provided by the plurality of participants during an interaction in the AI-assisted conference session.

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