Systems and Methods for Analysis of Internal Data Using Generative AI

    公开(公告)号:US20240289851A1

    公开(公告)日:2024-08-29

    申请号:US18196682

    申请日:2023-05-12

    CPC classification number: G06Q30/0282 G06F16/3329 G06Q30/0203

    Abstract: Systems and methods are described for identifying impactful elements in database information to generate a dialogue output. The method may include: (1) receiving, by one or more processors, internal database information at a generative artificial intelligence (AI) model, wherein the internal database information includes data associated with interaction dialogue; (2) analyzing, by the one or more processors, the internal database information via the generative AI model to generate an internal database analysis; (3) identifying, by the one or more processors and based upon at least the internal database analysis, one or more impact elements regarding human understanding of the internal database information via the generative AI model; and (4) generating, by the one or more processors and based upon at least the one or more impact elements, a dialogue output (or visual or virtual output) regarding the data via the generative AI model.

    Systems and Methods for Analysis of User Telematics Data Using Generative AI

    公开(公告)号:US20240289362A1

    公开(公告)日:2024-08-29

    申请号:US18196691

    申请日:2023-05-12

    CPC classification number: G06F16/3329 G06Q40/08 G06Q50/01

    Abstract: Systems and methods are described for analyzing user data to generate a dialogue output. The method may include: (1) receiving, by one or more processors, an indication of a user identity for a user at a generative artificial intelligence (AI) model; (2) retrieving, by the one or more processors and based upon at least the user identity, user data from one or more publicly accessible sources; (3) determining, by the one or more processors and based upon at least the user data, one or more personalization characteristics associated with at least an information retention rate for the user via the generative AI model; and (4) generating, by the one or more processors and based upon at least the one or more personalization characteristics, a personalized dialogue output (or visual or virtual output for display) for the user via the generative AI model.

    SYSTEM AND METHODS FOR PREDICTING RENTAL VEHICLE USE PREFERENCES

    公开(公告)号:US20220058670A1

    公开(公告)日:2022-02-24

    申请号:US17516804

    申请日:2021-11-02

    Abstract: Embodiments described herein generate a first set of prompts, the first set of prompts configured to prompt a vehicle owner for a first set of answers used to learn preferred vehicle renter characteristics; receive the first set of answers; generate, based upon the first set of answers, a second set of prompts, the second set of prompts configured to prompt the owner for a second set of answers used to learn additional preferred vehicle renter characteristics; receive the second set of answers; predict user preference value(s) of a profile of the owner based upon the second set of answers, wherein the user preference value(s) define criteria for sharing a vehicle associated with the profile with vehicle renters who satisfy the criteria; apply the criteria to potential vehicle renters; and cause an indication of the vehicle to be displayed only to the potential vehicle renters who satisfy the criteria.

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