Artificial intelligence (AI) based generation of data presentations

    公开(公告)号:US11048868B2

    公开(公告)日:2021-06-29

    申请号:US16396118

    申请日:2019-04-26

    Abstract: A data narration generating system generates snippets that include representations of data in one of a plurality of formats for inclusion into a data narration. The narration generating system receives selected data to be included into the data narration and provides the selected data to a plurality of ML models. The plurality of ML models are trained in generating snippets in one of the plurality of formats which can include textual format and a tabular format. Snippets in graphical formats can also be generated by rule-based processes. A plurality of snippets are thus generated in one or more of the plurality of formats which can then be presented to a user for selection and inclusion into the data narration. Alternately, a subset of the plurality of snippets can also be selected automatically based on a quality and quantity of data and a voting mechanism. The data narration thus generated is further configured to present different views based on privileges associated with user profiles.

    Digital document processing based on document source or document type

    公开(公告)号:US10713431B2

    公开(公告)日:2020-07-14

    申请号:US15373205

    申请日:2016-12-08

    Abstract: A method may include receiving, from multiple, different sources, documents. The documents may be received in multiple, different file formats. The method may include performing operations on the documents to prepare the documents for processing, to obtain data included in the documents, or to determine information describing the documents. The method may include storing or providing, for storage, status information corresponding to the documents. The status information for a document may identify results of performing the operations with regard to the document. The method may include receiving an instruction that identifies an action to perform with regard to the document. The method may include performing the action. The method may include updating the status information to generate updated status information based on a result of performing the action. The method may include providing the updated status information.

    ARTIFICIAL INTELLIGENCE BASED VIRTUAL AUTOMATED ASSISTANCE

    公开(公告)号:US20190384640A1

    公开(公告)日:2019-12-19

    申请号:US16008761

    申请日:2018-06-14

    Abstract: An Artificial Intelligence (AI) based virtual automated assistance system provides services pertaining to component processes of a task that is to be automatically executed. The virtual automated assistance system includes a pipeline studio that enables generating the services. Historical data pertaining to a service is accessed for training and validating various ML models. The ML models are scored and a selected ML model is registered as a service on the virtual automated assistance system. The services thus registered are represented as process blocks within the pipeline studio wherein the process blocks pertaining to the component processes of the task are arranged in order to form a pipeline. The pipeline thus constructed enables automatic execution of the task by receiving and processing a request pertaining to the task via the services that form the pipeline.

    DOCUMENT DIGITIZATION, TRANSFORMATION AND VALIDATION

    公开(公告)号:US20230067069A1

    公开(公告)日:2023-03-02

    申请号:US17461503

    申请日:2021-08-30

    Abstract: An Artificial Intelligence (AI) based document digitization, transformation and validation system extracts fields from digital documents via different document digitization processes. A document packet with a plurality of documents is initially accessed and any non-digital documents in the document packet are digitized. The errors in the digitized documents are corrected and non-English documents are translated into English. Each of the documents is provided to a plurality of digitization services for the extraction of fields by a plurality of field extraction models. If a field has multiple field instances extracted by more than one digitization service, then a field instance with the highest confidence score is selected for inclusion into the consolidated results. The consolidated results produced in different JavaScript Object Notation (JSON) formats are converted into a common JSON format which may be further validated and provided to downstream processes.

    TRANSACTION RECONCILIATION SYSTEM
    7.
    发明申请

    公开(公告)号:US20190156428A1

    公开(公告)日:2019-05-23

    申请号:US15818309

    申请日:2017-11-20

    Abstract: A system for reconciling transactions includes an interface, a processor and non-transitory computer readable media. The interface receives information related to a plurality of organizations. Each of the plurality of organizations includes an enterprise resource planning (ERP) system for maintaining account information associated with the organization, and a document management system (DMS) for maintaining documents for the organization. The non-transitory computer readable media is in communication with the processor. The non-transitory computer readable media that stores instruction code that causes the processor to determine, based on the information, a group of organizations of the plurality of organizations that are structurally related to one another. For each group of organizations, the processor a) communicates a request to an associated enterprise planning system for information related to an account to thereby obtain an account balance for the organization, b) communicates a request to an associated DMS for documents, c) performs natural language processing techniques on the documents to thereby determine support documents that support transactions related to the account, and d) accumulates transaction amounts specified in the support documents. When a sum of the transaction amounts is within a predetermined threshold of the account balance, the processor determines the account to be reconciled and generates a report that specifies the account balance and the support documents.

    Enabling secure access to applications via social media

    公开(公告)号:US12105839B2

    公开(公告)日:2024-10-01

    申请号:US17679952

    申请日:2022-02-24

    CPC classification number: G06F21/6245

    Abstract: An authentication and applications access system provides access to a plurality of backend applications via a social media application installed on a user device. Metadata associated with a request to access one of the plurality of backend applications is initially extracted. The metadata is used to authenticate the request via a plurality of validation steps. Upon authentication, the information from the request is provided to the backend application to receive the results responsive to the request. Any sensitive data included in the results is suppressed via data substitution steps from the transmission to the user device. The output from the applications access system with the sensitive data occluded is provided for display on a social media user interface (UI) on a user device.

    Artificial intelligence based virtual automated assistance

    公开(公告)号:US10725827B2

    公开(公告)日:2020-07-28

    申请号:US16008761

    申请日:2018-06-14

    Abstract: An Artificial Intelligence (AI) based virtual automated assistance system provides services pertaining to component processes of a task that is to be automatically executed. The virtual automated assistance system includes a pipeline studio that enables generating the services. Historical data pertaining to a service is accessed for training and validating various ML models. The ML models are scored and a selected ML model is registered as a service on the virtual automated assistance system. The services thus registered are represented as process blocks within the pipeline studio wherein the process blocks pertaining to the component processes of the task are arranged in order to form a pipeline. The pipeline thus constructed enables automatic execution of the task by receiving and processing a request pertaining to the task via the services that form the pipeline.

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