Abstract: A method for customer service representative training via a conversation with a simulated customer includes: receiving a profile of a simulated customer; causing display of the profile of the simulated customer; generating a plurality of textual prompts associated with the simulated customer and based on the profile of the simulated customer; generating a plurality of audio prompts associated with the simulated customer, each one corresponding to one of the textual prompts; playing each one of the plurality of audio prompts. The method also includes receiving a plurality of audio responses associated with the customer service representative, each one in response to a corresponding one of the audio prompts; generating a plurality of textual responses associated with the customer service representative, each one corresponding to one of the audio responses; storing the plurality of textual prompts and the plurality of textual responses in a database.

Abstract: Techniques are provided for generating and using a multi-signature token for electronic message validation according to the one or more embodiments as described herein. Specifically, a multi-signature token may be generated that includes at least two digital signatures and information (e.g., user information). Each of the at least two digital signatures may be generated using a private key of at least two key pairs that are maintained on a plurality of keystores that have at least two different implementations (e.g., security protocols). If the at least two digital signatures are valid, the multi-signature token may be determined to be valid and the client request may optionally be performed. If at least one of the at least two digital signatures is invalid, the client request is optionally not performed.

Abstract: Methods and systems for automated testing of virtual reality software applications using robotic devices include a server that converts a test workflow description into a sequence of actions in a format interpretable by a robotic device. The server transmits the sequence of actions to the robotic device. For each action in the sequence of actions, the server a) receives, from the robotic device, execution data corresponding to an outcome of execution of the action by the robotic device; b) captures, from a virtual reality device, one or more of image data and vector data corresponding to a current state of a virtual reality software application; c) analyzes one or more of the image data, the vector data, and the execution data to determine whether the robotic device successfully executed the action; and d) upon determining that the robotic device successfully executed the action, repeats steps a)-d) for the next action.

Abstract: A method for determining regression of a database query associated with a first execution plan includes receiving a first performance measure for the database query and the first execution plan; determining a presence of at least one stored performance measure for the database query in a data repository; adding the first performance measure and identifiers for the database query and the first execution plan to a synchronization list; retrieving a second performance measure associated with a second execution plan from the data repository; determining a regression of the database query by comparing the first performance measure to the second performance measure; in response to a determination that the database query is regressed, adding the first performance measure, the second performance measure, and identifiers for the database query and the first execution plan to a regression report.

Abstract: Methods and apparatuses for provisioning a database management platform in a cloud computing environment include a server that reserves virtual computing resources in the cloud environment. The server provisions a database management platform using the reserved virtual computing resources. The database management platform includes primary and secondary database instances, a database observer instance, and a platform monitor agent. The server configures a database observer instance to monitor availability of database instances and to route traffic to other database instances. The server integrates the database management platform with an identity authentication service, monitors operational status of the database management platform using a monitoring service, and refreshes the reserved virtual computing resources in the database management platform using a rehydration service.

Abstract: Techniques are provided for automatically generating and executing chaos tests for different software applications in a computing environment. A chaos testing data structure can be generated based on an analysis of configuration and/or property files for the software application and/or hosting platform service provider. A pattern and other information from the chaos data structure can be used to determine a topology of the software application and determine defined paths to different identified potential points of failure. One or more components can be selected for the defined paths to the identified potential points of failure. A chaos test template can be selected and automatically populated for each selected component.

Abstract: Methods and apparatuses for conversation dialogue orchestration in virtual assistant communication sessions include a server that establishes a chat session between a virtual assistant (VA) application and a client device. The VA application captures an utterance generated by a user and processes the utterance to instantiate a dialogue behavior tree comprising workflow agents each associated with executable code for completing a corresponding workflow action. The VA application traverses the behavior tree to generate a response to the utterance, including evaluating one or more conditions associated with a workflow agent to determine whether to execute the code in the workflow agent, and when the conditions associated with the workflow agent are met, executing the code to complete the workflow action and storing a sub-response in a dialogue memory. The VA application coalesces the sub-responses to generate a final response and transmits the final response to the client device.

Abstract: The Social Aggregating, Fractionally Efficient Transfer Guidance, Conditional Triggered Transaction, Datastructures, Apparatuses, Methods and Systems (“SOCOACT”) transforms smart contract request, crypto currency deposit request, crypto collateral deposit request, crypto currency transfer request, crypto collateral transfer request inputs via SOCOACT components into transaction confirmation outputs. An aggregated crypto 2-party transaction trigger entry that specifies at least one associated aggregated blockchain oracle may be instantiated. A first encrypted token may be obtained from a first associated aggregated blockchain oracle. A second encrypted token may be obtained from a second associated aggregated blockchain oracle.

Abstract: Methods and apparatuses for automating software application infrastructure deployment in a cloud computing environment include defining hierarchical infrastructure layers for a software application, generating a deployment pipeline for the software application comprising pre-coded resource configuration modules, and triggering execution of the deployment pipeline to deploy the software application in the cloud computing environment.

Abstract: Methods and systems for efficient caching and retrieval of responses in conversation service applications includes a server that captures an utterance and converts the utterance into an utterance index key. The server searches a first response cache to determine whether the utterance index key matches a response index key. When there is a match, the server transmits a response that matches the utterance index key to a client device. When there is not a match, the server converts the utterance into an utterance embedding and searches a second response cache to identify a response embedding. The server captures a fuzzy response index key associated with the closest matching response embedding and searches the first response cache to identify a response index key that matches the fuzzy response index key.

Abstract: Methods and apparatuses are described for workforce management in an Agile development environment. A server retrieves data from software development workforce applications, including Agile data. The server creates an Agile organization hierarchy data structure using the retrieved data. The Agile organization hierarchy data structure comprises developer nodes; developer position nodes; team structure nodes; project domain nodes; and business unit nodes. Each node is connected to other nodes in the data structure. The server generates, for display on a client device, a user interface comprising the Agile organization hierarchy data structure. The server determines adjustments to the Agile organization hierarchy data structure based upon input received from the client device. The server updates a connection between nodes in the Agile organization hierarchy data structure based upon the determined adjustments.

Abstract: In some implementations, systems and methods that are capable of customizing negative media searches using domain-specific search indexes are described. Data indicating a search query associated with a negative media search for an entity and a corpus of documents to be searched are obtained. Content from a particular collection of documents from among the corpus of documents is obtained and processed. Multiple scores for the entity are computed based on processing the content obtained from the collection of documents. The multiple scores are aggregated to compute a priority indicator that represents a likelihood that the collection of documents includes content that is descriptive of derogatory information.

Abstract: A computer implemented method is provided for creating and using a secret zero by multiple participants in a group. The secret zero is representative of a master secret that protects other secrets. The method includes creating, by a computing device of each participant, a message comprising a second public key, a commitment to a polynomial, a plurality of encrypted private key shares assigned to the other participants, a plurality of signatures associated with the private key shares assigned to the other participants, and a commitment of a symmetric key. The method also includes broadcasting, by the computing device of each participant, an encrypted version of the message to the group of participants. The method further includes broadcasting, by the computing device of each participant, the symmetric key to the group after all other participants have completed broadcasting their messages.

Abstract: Methods and apparatuses are described for automatic release preparation and deployment for software applications. A server generates a candidate release build of selected software applications to be deployed to a production computing environment, including: building application artifacts associated with the applications and storing the application artifacts in a repository, updating a project configuration file associated with the applications, and creating a release branch associated with the applications. The server deploys the application artifacts of the candidate release build into a functional acceptance test computing environment and validates operation of the application artifacts.

Abstract: Systems and methods are described for enhancing performance of a search engine by using pre-existing fine-tuned machine learning models that include domain-specific knowledge. A computing device receives search results from a search engine based on a query, in which the search results include chunk identifiers and a first weight score associated with each chunk identifier. The computing device further determines a subset of search results, which includes a first predetermined number of top-ranked chunk identifiers in the search results. The computing device generates, for each chunk identifier in the subset of search results, one or more second weight scores. Then the computing device generates, via a machine learning model, ensemble scores for the chunk identifiers. Afterwards, the computing device determines a second predetermined number of top-ranked chunk identifiers based on the ensemble scores.

Abstract: A method for reconciling data includes separating a first table into a plurality of first chunks, each first chunk including a plurality of first rows, and second table into a plurality of second chunks, each second chunk including a plurality of second rows. Each second chunk corresponds a first chunk. For each first chunk, the method includes: computing a first hash based on the first chunk and a second hash based on a second chunk corresponding to the first chunk; comparing the first hash with the second hash; in response to the first hash being different from the second hash, retrieving the plurality of first rows and the plurality of second rows and comparing the plurality of first rows to the plurality of second rows; in response to the first rows being different from the second rows, generating executable code configured to reconcile the first table with the second table.

Abstract: Methods and apparatuses for multimodal enhancement of interactions in conversation service applications include a server that establishes a chat-based communication session between a conversation service application and a client computing device. Query input is captured from a user during the session. The server converts an audio segment corresponding to a video into a video transcript using speech recognition, and determines a transcript portion for the video that is responsive to the query input using a dense passage retriever model. The server selects video frames from the video that correspond to the transcript portion and determines, for the selected frames, a predicted relevancy between the selected frame and the query input. The server generates a response to the query input comprising the selected frames based upon the relevancy. The server transmits the response to the client device for display.

Abstract: Methods and apparatuses are described for secure transmission and authentication of a user credential. A device comprising a memory, a processor, and a laser diode identifies a first user credential comprising a sequence of alphanumeric characters, converts the first user credential into a first plurality of analog signals, and activates the laser diode using the first plurality of analog signals to emit light detectable by a emitted light sensor of a second device. The second device comprising a memory, a processor, and an emitted light sensor generates a second plurality of analog signals corresponding to light emitted by the laser diode and detected by the emitted light sensor, converts the second plurality of analog signals into a second user credential, and authenticates the second user credential.

Abstract: The Address Verification, Seed Splitting and Firmware Extension for Secure Cryptocurrency Key Backup, Restore, and Transaction Signing Platform Apparatuses, Methods and Systems (“SFTSP”) transforms contract deployment request, transaction signing request, key backup request, key recovery request inputs via SFTSP components into contract deployment response, transaction signing response, key backup response, key recovery response outputs. A contract deployment request message datastructure is obtained. Owner key identification parameters are determined. An owner public key is determined using the owner key identification parameters. An owner address is generated using the owner public key. A salt value is generated. A contract address for the smart contract is calculated as a function of the deployment factory address, the salt value, the contract code, and the owner address. An owner private key is determined using the owner key identification parameters and used to sign the contract address.

Abstract: Systems and methods for extracting data from electronic documents using optical character recognition (OCR) and non-OCR based text extraction. A server computing device initiates non-OCR based text extraction for each page of an electronic document. The server calculates a document text coverage percentage corresponding to the non-OCR based text extraction for the whole document and, in response to determining that the document text coverage percentage is below a first threshold, initiates OCR for the document. The server calculates a page text coverage percentage corresponding to the non-OCR based text extraction for one or more pages of the electronic document and, in response to determining that the page text coverage percentage is below a second threshold, initiates OCR for the pages. The server combines first text extracted from the electronic document using non-OCR based text extraction and second text extracted from the electronic document using OCR.