Abstract: Methods and apparatuses are described for dynamic option reselection in virtual assistant (VA) communication sessions. A chat session is established between a VA application and a remote computing device. The VA application captures a first conversation intent generated by a user of the remote device, where the first conversation intent is part of a first workflow. The VA application generates an option selection feature based upon the first conversation intent, comprising a plurality of options and associated with a reference identifier. The VA application receives a selection of a first option in the option selection feature from the remote device. The VA application initiates a second workflow in response to the selected. The VA application detects a selection of a second option in the option selection feature from the remote device and restores the chat session to a state in the first workflow using the reference identifier.

Abstract: Methods and apparatuses for automated verification of visual user interface (UI) changes include a computing device that receives a baseline test report comprising a plurality of test steps associated with execution of a test against a software application. The computing device receives a recent test report comprising a plurality of test steps associated with execution of a test against the software application. The computing device matches each test step of the baseline report with a corresponding test step of the recent report. For each pair of matched steps, the computing device compares a first UI screenshot captured during execution the baseline report to a second UI screenshot captured during execution of the recent report. The computing device determines differences between the first UI screenshot and the second UI screenshot, generates a differential image based upon the differences, and stores the differential image in a data store.

Abstract: A computer-implemented method is provided for guiding a user to create one or more templates for assembling a demo workflow. The method includes filtering a plurality of web content uploaded by a user to remove unwanted material including references to external files and unreachable links so that the plurality of web content are stand-alone content, and presenting to the user a graphical user interface for building a plurality of templates using the filtered web content. The graphical user interface is configured to allow the user to choose one or more filtered web content to populate each template. The method also includes generating a demo workflow by (i) allowing the user to select a desired set of templates from the plurality of templates and (ii) interlinking the selected templates in an order specified by the user.

Abstract: Methods and apparatuses are described for assessing and auditing release readiness for a software application. A server receives identification of a software application to be deployed to a production computing environment. The server determines technical attributes of the identified software application from application lifecycle management tools. The server selects one or more release readiness assessment criteria corresponding to the identified software application. The server applies the technical attributes of the identified software application to the release readiness assessment criteria to generate a release readiness score for the software application. The server deploys the identified software application to the production computing environment when the release readiness score is at or above a predetermined threshold. The server prevents deployment of the identified software application to the production computing environment when the release readiness score is below the predetermined threshold.

Abstract: Methods and apparatuses are described for unstructured computer text is analyzed for masking of confidential information using artificial intelligence. A client device generates a message comprising unstructured computer text including confidential information. A server trains a word embedding model using the unstructured text. The server generates a multidimensional vector for each word in the unstructured text, generates a mapping table comprising a predetermined set of words corresponding to confidential information from the unstructured text, and determines one or more neighboring words in the trained word embedding model using the predetermined set of words. The server updates the mapping table to incorporate the one or more neighboring words and executes rules on the unstructured text that filter out one or more words, and applies the updated mapping table to match words in the updated mapping table with words in the filtered text and mask the matching words in the unstructured text.

Abstract: Systems and methods for distributing transaction files among accounts corresponding to a physical card. The method includes receiving a transaction file from a transaction processing entity. The transaction file is associated with a physical card. The method also includes identifying at least one purse segment in the transaction file. Each purse segment corresponds to a transaction associated with the physical card. The method further includes, for each of the at least one purse segments, identifying a purse ID corresponding to at least one account associated with the physical card and extracting transaction data from the transaction file corresponding to the purse ID. The method also includes, for each of the at least one purse segments, storing the transaction data corresponding to the purse ID into a distribution file and transmitting the distribution file to an account processing system.

Abstract: Methods and apparatuses are described for authenticating client applications using an identity fabric blockchain. A server receives a first registration request from a first client application. The server generates a first decentralized identifier corresponding to the first client application and stores the first identifier in an identity fabric blockchain. The server receives a second registration request from a second client application, generates a second decentralized identifier corresponding to the second client application, and stores the second identifier in the blockchain. The server receives a first authentication request from a first resource and authenticates the first client application based on the first authentication request and the first decentralized identifier stored in the blockchain.

Abstract: A computer-implemented method is provided for identifying potential individuals to contact in a campaign of interest. The method includes receiving campaign data including description about the campaign of interest and information about the potential individuals to contact for the campaign of interest and selecting a plurality of trained machine learning models from a library of trained machine learning models based on the campaign data. The library of trained machine learning models is created from data of historical campaigns administered, and each of the selected plurality of trained models corresponds to a historical campaign that is within a similarity threshold from the campaign of interest. The method also includes scoring a pool of existing customers using the select plurality of trained machine learning models and identifying the potential individuals to contact in the campaign of interest by ranking the existing customers by their corresponding propensity scores.

Abstract: Methods and apparatuses are described for decentralized authorization of user access requests in a distributed service architecture. A gateway node receives a user access request from a remote computing device. The gateway generates a signed and encrypted access token based upon the user access request using an authorization service node and a key management service node. The gateway transmits the access token, the user access request, and a security certificate received from the authorization service to a security proxy node of a microservice container. The security proxy validates the certificate and the access token. The security proxy decrypts the access token using a public key from the certificate, and determines user authorization to access a service endpoint node based upon the decrypted token. The security proxy transmits the user access request to the service endpoint, which provides the remote device with access to services based upon the user access request.

Abstract: The Multiple Modular Asset Class Constructor Apparatuses, Methods and Systems (“MMACC”) transforms collateralized equity obligation structure parameters, asset search, tranche selections inputs via MMACC components into asset income distribution message, principal distribution message outputs. In one embodiment, the MMACC is an apparatus, with a memory having a component collection, including: a capital structure component, a preferred share class component, and a common share class component. The MMACC also has a processor to issue instructions from the component collection including instructions to obtain a capital structure input via said capital structure component from a system user and determine a preferred share class allocation via said capital structure input and said preferred share class component.

Abstract: Methods and apparatuses are described for synchronization of metadata between databases in a cloud computing environment. A computing device identifies jobs that synchronize metadata from a first database instance to a second database instance, each job comprising synchronization tasks for a different portion of the metadata. The computing device determines a count of the synchronization tasks for each job. The computing device allocates each job to a first queue where the count of the synchronization tasks for the job is below a threshold value, and allocates the synchronization tasks for each job to a second queue where the count of the synchronization tasks for the job is at or above the threshold value. The computing device executes the jobs in the first queue and executes the synchronization tasks in the second queue to synchronize the corresponding metadata to the second database instance.

Abstract: Methods and apparatuses are described for automatically identifying text sections of a document to generate a searchable hierarchical data structure. A computing device receives a document comprising text entities and converts the document from a first format to a second format, including generating metadata associated with text alignment, text position, text spacing, or fonts. The computing device extracts the text blocks, including determining coordinates associated with each text block using the metadata. The computing device determines document sections using the document metadata by identifying strings in the extracted text blocks that indicate a presence of a bullet point in the document, assigns a hierarchical category to each identified document section, and inserts text of each document section into a hierarchical data structure based upon the assigned hierarchical category.

Abstract: A computerized method of representing customer interactions with an organization includes: receiving, by a computing device, customer web interaction data segments and customer conversation data segments; pre-processing the customer conversation data segments to remove specified types of information; scoring each of the pre-processed customer conversation data segments; pre-processing the customer web data interaction segments; extracting from the pre-processed customer web interaction data segments tokens; combining the pre-processed customer conversation data segments and the pre-processed customer web interaction data segments into a customer data set; parsing the customer data set into one or more windows; assigning, for each window, pre-trained weights to each of the tokens in each window; assigning a transaction theme to each window based on the tokens in each window; and generating, based on the transaction themes, a ranked list of topic keywords reflecting the customer web interaction data segments an

Abstract: The Social Data Tracking Datastructures, Apparatuses, Methods and Systems (“SDTD”) transforms brokerage order request, blockchain transaction request, agency action request inputs via SDTD components into brokerage order confirmation, transaction confirmation, agency action notification outputs. An agency action request is obtained from a user of an agency oversight configured blockchain. A transaction identifier of an unwind transaction associated with the agency action request is determined. An unwind address associated with the agency action request is determined. The agency oversight configured blockchain is analyzed to determine an affected transaction for the unwind transaction, wherein the affected transaction involves unspent crypto tokens that originated from the unwind transaction. An agency blockchain transaction request that facilitates transferring crypto tokens from an address associated with the affected transaction to the unwind address is generated.

Abstract: A computerized method is provided for automatically determining answers to a plurality of questions. The method includes automatically discovering a plurality of questions by processing historical data related to prior customer interactions. The automatically discovering includes applying a linguistic analytical model on the data related to historical customer interactions to detect the plurality of questions, vectoring the plurality of questions to generate mathematical representations of the questions, and grouping the plurality of questions into one or more clusters in accordance with similarities of the questions as measured based on their mathematical representations. The method also includes identifying the questions that do not have an existing answer. The method further includes determining at least one probable answer to each of the representative questions using a content mining technique that mines pertinent data from one or more identified content sources.

Abstract: Systems and methods for extracting data from electronic documents based on data patterns. The method includes receiving electronic template documents. Each template document corresponds to a type of electronic document. The method further includes, for each template document, processing the template document using a text extraction and data processing application. The method also includes, for each template document, determining a data extraction formula corresponding to the type of electronic document. The method further includes, storing the data extraction formula in a first database. The method also includes, receiving an electronic document including user data and a Unicode corresponding to the type of document. The method also includes, processing and classifying the electronic document into the type of document corresponding to the Unicode.

Abstract: Methods and apparatuses are described for automated predictive virtual assistant intervention. A server computing device captures clickstream data corresponding to web browsing sessions of a user at a client computing device, and generates predicted needs of the user based upon the clickstream data. The server computing device identifies virtual assistant messages for the user based upon the predicted needs of the user, and displays the identified virtual assistant messages in a virtual assistant application on the client computing device.

Abstract: Methods and apparatuses are described for normalizing digital content across databases and generating personalized content recommendations. A server normalizes structured text for each content item to generate unstructured text. The server converts the unstructured text into a multidimensional content item feature set. The server trains a model based upon user profile information, historical content consumption information, historical content recommendation information, and the feature sets. The server receives a request including a vector associated with a user of a client device. The server executes the model using the vector as input to generate interaction prediction scores. The server selects scores above a threshold and identifies content items associated with each score.

Abstract: The Tactic Tracking, Evaluation and Identification Engine Apparatuses, Methods and Systems (“TTEIE”) transforms subscription request, tick notification request inputs via TTEIE components into subscription response, identified tactic store request, user interface update notification outputs. A subscription request datastructure from a client is obtained. A set of tactic definition datastructures is retrieved. A tick notification comprising tick data for a tick associated with a target is obtained. A contact datastructure corresponding to each retrieved tactic definition datastructure is added to a tracking list of contact datastructures for the target. The tick data for the tick is appended for each contact datastructure in the tracking list. A contact datastructure's time series of ticks is evaluated with regard to the respective contact datastructure's corresponding time series of rules to classify the respective contact datastructure, for each contact datastructure in the tracking list.

Abstract: Methods and apparatuses are described for enterprise access control governance in a computerized information technology (IT) architecture. A server determines access control entitlements for each of a plurality of users of the IT architecture, and converts the access control entitlements for each user into a multidimensional vector. The server generates a vector space comprising a plurality of nodes, each node in the vector space corresponding to a multidimensional vector associated with the access control entitlements. The server determines clusters of nodes in the vector space by using a similarity measure based upon dimensions of the vector. The server identifies a job role associated with each of the clusters of nodes in the vector space based upon access control entitlements that are common to the nodes. The server locates outlier nodes in the vector space positioned at least a predetermined distance away from at least one of the clusters.