Abstract: A computer-implemented method is provided for generating an access profile for a given user in a group of users. The method includes generating (i) a demographic similarity matrix of demographic similarity scores, each score measuring a degree of similarity between a pair of the users with respect to a demographic metric in a plurality of demographic metrics, and (ii) an access similarity matrix of access similarity scores, each score measuring a degree of similarity between a pair of the users with respect to an entitlement in a plurality of entitlements. The method also includes calculating a group similarity matrix based on a weighted average of the demographic and access similarity matrices. The method further includes creating the access profile for the given user based on the group similarity matrix. The access profile indicates access recommendations for the given user in relation to the plurality of entitlements.

Abstract: Systems and methods for generating proposed search queries based on sequence semantics. The method includes receiving clickstream data from a database. The method also includes generating for each user a digital timeline based on the clickstream data. The method further includes determining for each user event pairs based on the digital timeline. The method also includes generating a vector matrix including the event pairs for each user. The method further includes receiving an initial search query from a user. The method also includes determining an intended user activity based on the initial search query. The method further includes generating proposed search queries based on the vector matrix, the intended user activity, and the initial search query.

Abstract: Systems and methods for identifying fields in an electronic document using classification and scale invariant template matching. The method includes receiving an electronic document having fields and processing the electronic document into digital pages. The method also includes determining, for each of the digital pages, a corresponding document type. The method further includes identifying at least one of the digital pages containing a structured field based on the document type. The method also includes extracting a structured template from a database corresponding to the document type and identifying an optimal match between the structured field and the structured template using scale invariant template matching. The method further includes determining, in response to identifying the optimal match, coordinates corresponding to the structured field.

Abstract: Methods and apparatuses are described for automated management of scheduling a computer hardware reboot. A computing device detects a user login request. The computing device launches a hosted virtual desktop application for display on a display device coupled to the computing device. The computing device determines that a reboot of the computing device is required, including identifying that one or more software application updates have been applied to the computing device during a period of time prior to detecting the user login request. The computing device generates a reboot notification window that is displayed on top of the hosted virtual desktop application. The computing device receives instructions via the reboot notification window to execute a scheduled reboot of the computing device. The computing device executes the scheduled reboot of the computing device at a time defined in the received instructions.

Abstract: Methods and apparatuses are described for system for identifying and mitigating high-risk database queries through ranked variance analysis. A server identifies database queries executed against databases in a production computing environment within a predetermined time period, each database query associated with execution plans and each execution plan having corresponding plan data elements. For each database query: the server generates execution variance data for the execution plans for a database query based upon the corresponding plan data elements, comprising: determining an execution time variance between the execution plans; and determining a buffer gets variance between the execution plans. The server ranks the database queries according to (i) the execution time variance, and (ii) the buffer gets variance.

Abstract: A computerized method of routing calls includes the following steps performed by a server computing device: receiving a set of call attributes associated with an incoming call; identifying a document containing call routing instructions corresponding to the call attributes by querying a search index in electronic communication with the server computing device; identifying, based on the document, a set of suitable agents having a skill and a suitable proficiency in the skill by querying an agent skills database in electronic communication with the server computing device; identifying a set of available agents in the set of suitable agents by querying an agent status database in electronic communication with the server computing device; and routing the incoming call to a target agent in the set of available agents, if there is at least one available agent; or a customer waiting queue, if there is no suitable agent.

Abstract: Computerized systems and methods for identifying a table in a document include: removing from a document content other than text characters and associated size, position and format information; converting each text character into a block covering the corresponding text character; converting each page of the document into a corresponding image file; drawing a set of horizontal lines spanning a width of the document, each block super-scored and under-scored by at least one of the horizontal lines; drawing a set of vertical lines spanning all or a portion of a length of the document; removing a subset of redundant vertical lines; and determining, based on the set of horizontal lines and the subset of vertical lines, (i) a set of table coordinates corresponding to a table in the document, and (ii) one or more sets of cell coordinates corresponding to one or more cells in the table.

Abstract: A system is provided for visualizing data in a computerized visual environment. The system comprises (i) a viewing device that displays, to a user of the viewing device, a graphical user interface within a virtual three-dimensional space, (ii) a handheld device configured to allow the user to customize the display of a three-dimensional data visualization within the graphical user interface using hand motions made by the user, and (iii) a computing device coupled to the viewing device and the handheld device. The computing device is configured to cause to display to the user on the viewing device a filter plane overlaying the three-dimensional data visualization, detect a position of the filter plane that is movable by the user in the graphical user interface, and alter the three-dimensional visualization in the graphical user interface based on the detected position of the filter plane.

Abstract: A computing device having a software radio (e.g., a mobile device where the software radio is substantially defined in software) transmits first information related to a financial transaction over the first radio network to the financial institution, and transmits second information related to the financial transaction over the second radio network to the financial institution. A server of the financial institution receives the first information and the second information to carry out the financial transaction.

Abstract: A computerized method of assessing a chatbot conversation includes: extracting one or more messages from the conversation; determining, based on the one or more messages, an existing business opportunity value score using a business opportunity state detector module; determining, based on the one or more messages, an existing user experience score using a user experience state detector module of the computing device; determining, based on the one or more messages, a future business opportunity value score using a future business opportunity predictor module of the computing device; determining, based on the one or more messages, a future user experience score using the future user experience predictor module of the computing device; calculating a composite score indicating whether human intervention in the chatbot conversation is desirable; and generating a display signal including a status indicator, for review by a human agent, reflecting a desirability of human intervention in the chatbot conversation.

Abstract: The Seed Splitting and Firmware Extension for Secure Cryptocurrency Key Backup, Restore, and Transaction Signing Platform Apparatuses, Methods and Systems (“SFTSP”) transforms transaction signing request, key backup request, key recovery request inputs via SFTSP components into transaction signing response, key backup response, key recovery response outputs. An offline transaction signing request message for a transaction is received by a first cold HSM and includes an encrypted second master key share from a second cold HSM and an encrypted third master key share from a hot HSM. A first master key share is retrieved. The encrypted master key shares are decrypted and, along with the first master key share, used to recover a master private key. A keychain path is determined. A signing private key for the keychain path is generated using the master private key. The transaction is signed using the signing private key, and the generated signature is returned.

Abstract: Methods and apparatuses are described for enterprise access control governance in a computerized information technology (IT) architecture. A server generates a first vector space, each node in the first space representing a user of resources in the IT architecture and including attributes of the user. The server generates a second vector space, each node in the second space representing an entitlement to access resources in the IT architecture and including attributes of the entitlement. The server creates an entitlement utility matrix by mapping nodes in the first space to nodes in the second space. The server determines a set of recommended entitlements for a plurality of users based upon the utility matrix. The server determines a discrepancy between the set of recommended entitlements for a first user and a set of existing entitlements for the first user and adjusts the set of existing entitlements based upon the discrepancy.

Abstract: Methods and apparatuses are described for generating a recommended conversation topic flow. A server executes a topic modelling algorithm on voice call transcripts to determine a distribution of topics present in the transcripts. The server generates a historical topic flow for each transcript by determining topic-related words in text blocks in the transcript and assigning a score to each text block. The server categorizes each topic flow as positive or negative based upon outcomes associated with the transcript. The server trains a classification model using the categorized topic flows as input. The server captures a bitstream corresponding to a current voice call and converts the bitstream into unstructured text. The server executes the classification model on the unstructured text to determine whether a call topic flow is positive or negative. The server generates topic recommendations and transmits the recommendations to a second client device.

Abstract: Methods and apparatuses are described for automatic classification of error conditions in automated user interface testing. A server receives an image file corresponding to a current user interface (UI) view of a software application under test. The server analyzes the image file to identify error conditions that exist in the current UI view. The server assigns a classification to the image file according to one or more error types based upon the error conditions identified in the current UI view. The server transmits a notification message to one or more remote computing devices, the notification message comprising the image file and the classification assigned to the image file.

Abstract: Methods and apparatuses are described for generating and manipulating 3D objects in a 3D environment of an alternative reality software application. A server retrieves a data set comprising data elements, each having one or more attributes. The server generates, for each data element, a virtual object, each virtual object positioned inside a virtual container and located in proximity to a center of the virtual container. The server attaches virtual magnets to an exterior surface of the virtual container, each magnet associated with a data filter value and an attraction value. The server determines, for each virtual object, a movement distance and a movement speed in relation to each virtual magnet based upon the data filter value and the attraction value for the virtual magnet. The server moves at least a portion of the virtual objects to a new location based upon the movement distance and movement speed.

Abstract: Methods and apparatuses are described for generating and displaying custom-selected content for a mobile application. A mobile device captures a request to launch an application and determines content cards eligible to be displayed. A user-specific content classification model is generated for selecting one of the content cards to be displayed, where the mobile device identifies historical usage characteristics and transmits the historical usage characteristics to a server, which generates the user-specific content classification model based upon the historical usage characteristics and transmits the user-specific content classification model to the mobile device. The mobile device executes the user-specific content classification model to select one or more content cards to be displayed and launches the application to display the selected content cards.

Abstract: Methods and apparatuses are described for automated predictive product recommendations using reinforcement learning. A server captures historical activity data associated with a plurality of users. The server generates a context vector for each user, the context vector comprising a multidimensional array corresponding to historical activity data. The server transforms each context vector into a context embedding. The server assigns each context embedding to an embedding cluster. The server determines, for each context embedding, (i) an overall likelihood of successful attempt and (ii) an incremental likelihood of success associated products available for recommendation. The server calculates, for each context embedding, an incremental income value associated with each of the likelihoods of success. The server aggregates (i) the overall likelihood of successful attempt, (ii) the likelihoods of success, and (iii) the incremental income values into a recommendation matrix.

Abstract: A computer-implemented method is provided for automatically masking data for display in a mobile computing device. The computer-implemented method includes receiving a request to display data on the mobile computing device and detecting a physical location of the mobile computing device, a time corresponding to the request, and at least one network characteristic of a wireless network on which the mobile computing device is making the request. The method also includes automatically determining whether to mask the data for display in the mobile computing device based on the physical location, the time, and the at least one network characteristic. The method further includes responsive to determining to mask the data, applying one or more masking rules to the data.

Abstract: Methods and apparatuses are described for identification and traceability of application programming interface (API) functionality in a distributed computing environment. A server retrieves source code comprising API calls from source code repositories, and parses the source code to identify a first set of APIs, each having one or more attributes. The server retrieves API definitions and parses the API definitions to identify a second set of APIs, each having one or more attributes. The server compares the first set of APIs and the second set of APIs to determine matching APIs. Using the matching APIs, the server detects backend systems associated with each API and generates a call graph for each API by traversing abstract syntax trees (ASTs) associated with the source code. The server builds an API model object for each API, comprising the attributes of the API, the detected backend systems, and the call graph.

Abstract: The Application Source Code Reuse Apparatuses, Methods and Systems (“ACR”) transforms compilation request inputs via ACR components into compilation response outputs. A compilation request datastructure that specifies an application identifier is obtained. A first source code branch associated with the application identifier is pulled from a source code repository. A second source code branch associated with the application identifier is rebased using the first source code branch. A first transformation file in the second source code branch is selected. The first transformation file is written in a first programming language and includes a first set of annotations that specify how to modify the first transformation file into a compilable file in the first programming language. The first transformation file is transformed, in accordance with the first set of annotations, into a compilable file in the first programming language. A content package is generated using the transformed first transformation file.