Abstract: An interactive braille display system includes a processor and a display unit in electronic communication with the processor. The display unit includes a braille cell unit and an interactive unit in physical contact with the braille cell unit. The interactive unit includes a surface layer for displaying braille information and sensing tactile contact by a user. The interactive unit also includes a subsurface layer in physical communication with the surface layer, the subsurface layer including electrodes for detecting a capacitance change caused by the tactile contact by the user. The capacitance change corresponds to a position of the tactile contact by the user.

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 order of a user for an order processing entity is obtained. A blockchain data node, which facilitates access to user-owned read data, associated with the order is determined. A blockchain identifier of the blockchain data node and a blockchain identifier of the order processing entity is provided to an access control node and the user-owned read data is obtained. The order is executed using the user-owned read data. A write access blockchain node, which grants the order processing entity permission from the user to create one or more blockchain data nodes, is determined. A new blockchain data node is created that facilitates access to the user-owned write data associated with the executed order.

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: A computerized method of calculating a score characterizing a computing process executed in a distributed computing system includes: receiving, by a computing device, from a first data store in electronic communication with the computing device, one or more numerical features representing an aspect of execution performance of the computing process; receiving, by the computing device, from a second data store in electronic communication with the computing device, a set of numerical multipliers including a numerical multiplier for each feature, each numerical multiplier based on a significance of the associated execution performance aspect of the computing process to the computing process; and calculating, by the computing device, the score based on a sum of features weighted by their associated numerical multipliers, the score indicating a performance of the computing process.

Abstract: Methods and apparatuses are described for mutation testing of database functions. A computing device identifies database functions for testing from at least one database. The computing device generates, for each identified database function, mutated database functions by automatically applying mutations to the identified database function that change aspects of the identified database function. The computing device deploys the mutated database functions to the at least one database. The computing device determines line coverage attributes associated with each mutated database function. The computing device selects tests for execution against each mutated database function based upon the line coverage attributes associated with each mutated database function. The computing device executes the selected tests against each mutated database function using test automation applications to determine an outcome associated with each test.

Abstract: Systems and methods for preventing source code error reoccurrence. The method includes receiving a source code file including a record of modifications of the source code and a record of source code errors. The method also includes storing the source code file in a database. The method further includes receiving a modified source code file including an identification of a user that created the modified source code file on a user device. The method also includes determining a portion of the source code file that has been modified based on a comparison of the source code file and the modified source code file. The method further includes determining whether the portion of the source code file that has been modified corresponds to an error in the record of source code errors. The method also includes generating a notification corresponding to the error for display on the user device.

Abstract: A computerized method of routing customer interactions (call and chats) includes the following steps performed by a server computing device: creating a database with a document for every agent with a set of attributes identifying the types of customer interactions they service, receiving a set of call attributes associated with an incoming call; formulating a query of the call attributes against all agent profiles and returning a matching score for all available agents using Elastic Search; and routing the incoming call to a target agent with the highest score 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 achieving at least a minimum score.

Abstract: Systems and methods for identifying data strings in electronic documents using pattern recognition. The method includes receiving a first data string corresponding to an electronic reference document from a first database and a second data string corresponding to an electronic legal document from a second database. The method also includes processing the first data string into a first processed data string and processing the second data string into a second processed data string. The method also includes calculating a cosine similarity between the first processed data string and the second processed data string. The method also includes receiving a feedback score from a user which corresponds to an accuracy of the calculated cosine similarity. The method also includes calculating an adjusted cosine similarity between the first processed data string and the second processed data string based on the calculated cosine similarity and the feedback score.

Abstract: Methods and apparatuses are described for session-based data storage for chat-based communication sessions. A computing device connects to a data storage area associated with an active chat-based communication session, the data storage area comprising data storage slots. The computing device identifies a first data event during the chat-based communication session, the first data event comprising one of a data capture event, a data retrieval event, or a data prefill event. The computing device identifies a data storage slot in the data storage area corresponding to the first data event, the data storage slot comprising a slot name and a slot value. The computing device selects data elements associated with the chat-based communication session for insertion into the data storage slot based upon the event type of the first data event. The computing device stores the selected data elements in the data storage slot for retrieval during the chat-based communication session.

Abstract: Methods and apparatuses are described for automatic generation of specifications for data access layer application programming interfaces (APIs). A server identifies an object-oriented data model comprising (i) a plurality of object structures containing one or more data elements and (ii) one or more relationships between at least two of the object structures. The server generates an API specification package using the object-oriented data model by identifying object structures to include in the API specification package, defining attributes for the API specification package, assigning data access operations to each identified object structure, creating data relationships between at least two of the identified object structures, and converting the identified object structures, the defined attributes for the API specification package, the assigned data access operations, and the created data relationships into one or more files that comprise the API specification package.

Abstract: Methods and apparatuses are described for digital content classification and recommendation based upon reinforcement learning. A server converts unstructured text corresponding to each digital content item into a content item feature set. The server generates a user context vector associated with a plurality of users. The server trains a linear multi-armed bandit (MAB) classification model based upon the user context vectors and historical user content recommendation information. The server receives a new user context vector associated with a new user. The server executes the MAB model using the new user context vector as input to generate content interaction prediction scores. The server selects the content interaction prediction scores above a predetermined threshold and identifies the associated digital content item. The server presents the identified digital content items on a client device and receives a response. The server updates linear UCB coefficient vectors of the MAB model based upon the response.

Abstract: Systems and methods are described for automating retrieval of application data prior to wireless network outages and rendering mobile device UIs during the outages. The system includes a server and database of data object files corresponding to features of applications executable on the mobile device. The mobile device receives a notification from the server before a predicted network outage, and sends back a request including parameters indicating resource status. The mobile device receives a response including a data object file from the database and automatically invokes a network bot, UI bot, and navigation bot. The network bot retrieves application data from a web server based on an object from the data object file. The navigation bot generates a navigation handle based on an object from the data object file, and the UI bot renders a UI based upon a UI object from the data object file and the navigation handle.

Abstract: Methods and apparatuses are described for building a knowledge base taxonomy from structured or unstructured computer text for use in automated user interactions. A server computing device receives one or more of structured text or unstructured text corresponding to historical user interaction data from a database. The server computing device extracts one or more terms from the received text that are most relevant to a subject matter domain. The server computing device organizes the extracted one or more terms into a taxonomy data structure.

Abstract: Systems and methods for aggregating a dependency structure based on application logging data, application metadata, customer intent and journey, organizational structure, and operational support information. The method includes receiving data using an application programming interface. The method further includes, for each user, determining a start point and an end point corresponding to user activity on a networked system. The method also includes, for each user, determining a task based on the start point and end point corresponding to the user activity. The method further includes, for each user, determining operations data corresponding to the user activity. The method also includes, for each user, determining a dependency structure based on the task and the operations data. The method also includes aggregating the dependency structure, the task, and the operations data into a visualization. The method further includes generating for display the visualization on a user device.

Abstract: Methods and apparatuses are described for automatic execution of subscription-based financial instrument trading strategies in real-time. A server receives a request to deploy a trading strategy with trading strategy parameters. The server determines that a trading strategy has already been created for other users based upon the parameters. The server generates a subscription to the trading strategy, which comprises indicators needed to deploy the trading strategy. The server identifies at least one indicator that has already been calculated and calculates any of the indicators that have not already been calculated. The server deploys the trading strategy using the identified and calculated indicators.

Abstract: Systems and methods for authenticating a user using an interactive voice response application. The method includes receiving data representing a spoken voice utterance corresponding to a user of an interactive voice response application. The method further includes processing the data representing the spoken voice utterance based on a length and a quality of the spoken voice utterance. The method also includes comparing the processed data representing the spoken voice utterance and a voiceprint associated with the user. The method further includes generating a security token in response to determining that the processed data representing the spoken voice utterance substantially matches the voiceprint associated with the user. The method also includes receiving the security token from the interactive voice application and validating the security token corresponding to the user in response to determining that the security token matches a security token generated by a server computing device.

Abstract: The Shifting Substitution Cipher Based Efficient Vaultless Data Tokenization Apparatuses, Methods and Systems (“VDT”) transforms tokenized data storage request, detokenized data retrieval request, tokenized data retokenization request inputs via VDT components into tokenized data storage response, detokenized data retrieval response, tokenized data retokenization response outputs. A tokenized data storage request datastructure is obtained. Data type and data type instance of a plaintext data value are determined. A first data tokenization key token for the data type instance is determined. A first data shift position for the first data tokenization key token is calculated. A first tokenized data value is generated by translating the plaintext data value from a plaintext alphabet to a first shifted ciphertext data alphabet generated by shifting the first data tokenization key token using the first data shift position.

Abstract: A computer-implemented method is provided for permitting a user to manipulate data feeds via a graphical user interface. The method includes receiving, by a computing device, the data feeds over a communications network in real time from corresponding data sources and receiving from the user, by the computing device, via the graphical user interface an execution plan comprising a list of one or more actions to be performed on the data feeds. The method also includes sequentially executing, by the computing device, each of the actions in the execution plan on the real-time data feeds to generate one or more manipulated data feeds. The method further includes displaying, by the computing device, the manipulated data feeds to the user in a user-defined format via the graphical user interface.

Abstract: Methods and apparatuses are described for automated predictive analysis of user interactions to determine a modification based upon competing classification models. A server computing device receives first encoded text for prior user interactions and trains a plurality of classification models using the first text. The server determines a prediction cost for each of the models based upon the training. The server receives second encoded text for a current user interaction and executes the trained models using the second text to generate a prediction vector for each model that maximizes user engagement. The server selects one of the models based upon the prediction vectors, identifies a communication feature of the model, generates a user interaction modification, and transmits the user interaction modification to a client computing device.

Abstract: Methods and apparatuses are described in which unstructured computer text is analyzed for identification and classification of complaint-specific user interactions. A data store receives unstructured computer text corresponding to current user interactions. A server filters the unstructured computer text to identify messages that comprise a potential complaint.