Abstract: In one embodiment, a method for accounting for equity transactions for an incorporated legal entity in an interactive computer system is disclosed, comprising: identifying a stock option grant document stored as an electronic document on an interactive computer system, the electronic document stored in association with an electronic record of the incorporated legal entity; identifying a stock option grant in the stock option grant document, stored as core record metadata within the stock option grant document; determining a number of granted stock options using the stock option grant stored as core record metadata; subtracting the number of granted options from a stock option grant user account associated with both a user and the incorporated legal entity; and subtracting the number of granted options from an outstanding shares account associated with the incorporated legal entity, in conjunction with a stock option exercise document and as a number of granted shares.

Abstract: Systems and methods for extracting data values from electronic documents using neural networks. The method includes receiving an electronic document having data values and associated field identifiers, determining pixel coordinates corresponding to the field identifiers using a first neural network, and extracting the field identifiers located at the pixel coordinates using a second neural network. The method also includes, for each of the field identifiers, calculating pixel coordinates on the electronic document corresponding to a data value associated with the field identifier using a third neural network and extracting the data value located at the calculated pixel coordinates using the second neural network. The method further includes, for each of the data values, generating a record in a data structure, the record including the extracted value and the extracted field identifier. The method also includes storing the data structure including the records in a database.

Abstract: Systems and methods are described herein for stopping a data replication process on database systems. The method includes identifying a data replication process corresponding to a downstream database system and an upstream database system. The method also includes determining a first status of the data replication process at the downstream database system and upstream data corresponding to the upstream database system. The method also includes determining a second status of the data replication process at the upstream database system based on the upstream data. The method also includes stopping the data replication process at the upstream database system based on the second status and stopping the data replication process at the downstream database system based on the first status. The method also includes generating a data log notification including data corresponding to the stopped data replication process.

Abstract: Methods and apparatuses are described for automated prediction of computing resource performance scaling using reinforcement learning. A server executes performance tests against a production computing environment comprising a plurality of computing layers to capture performance data for computing resources in the production environment, where the performance tests are configured according to transactions-per-second (TPS) values. The server trains a classification model using the performance data, the trained model configured to predict computing power required by the plurality of computing layers. The server identifies a target TPS value and a target cost tolerance for the production environment and executes the trained classification model using the target TPS value and the target cost tolerance as input to generate a prediction of computing power required by the plurality of computing layers.

Abstract: Methods and apparatuses are described for provisioning and managing data orchestration platforms in a cloud computing environment. A server provisions in a first region a first data orchestration platform comprising (i) a first data transformation instance, (ii) first endpoints, and (iii) a first data integration instance. The server provisions in a second region a second data orchestration platform comprising (i) a second data transformation instance, (ii) second endpoints, and (iii) a second data integration instance. The server integrates the first data integration instance and the second data integration instance with an identity authentication service. The server monitors operational status of the first orchestration platform and the second orchestration platform using a monitoring service. The server refreshes virtual computing resources in each of the first orchestration platform and the second orchestration platform using a rehydration service.

Abstract: Methods and apparatuses are described for intelligent dialogue recovery in virtual assistant communication sessions. A chat session is established between a virtual assistant (VA) and a remote device. A primary dialogue is created between the VA and the remote device, including (i) requesting from a first natural language processing (NLP) service an intent associated with user messages and (ii) waiting for a corresponding response. A secondary dialogue is created between the VA and the remote device that is synchronized to a state of the primary dialogue. When the response from the first NLP service succeeds, primary messages are generated and transmitted to the remote device in the primary dialogue. When the response from the first NLP service fails, an intent is requested from the second NLP service, and secondary messages are generated and transmitted to the remote device in the secondary dialogue.

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: 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: 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: 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.