Abstract: Aspects of the disclosure relate to computing platforms that implement data driven testing through automation using continuous machine learning combined with continuous integration for development testing. A computing platform may extract production data from user interaction with an application, perform a masking operation on the production data to create modified production data, convert the modified production data into a format suitable for machine learning, and generate one or more independent scenarios using machine learning. The computing platform may automatically trigger execution of test scripts associated with the one or more independent scenarios using the modified production data and receive results of the executed test scripts indicating whether a version of the application performs as expected.

Abstract: A highway detection system may include a telematics device associated with a vehicle having one or more sensors arranged therein, a mobile device associated with a user traveling in the vehicle, and a server computer. The server computer may receive traveling data for a trip of the user from the one or more sensors and via the telematics device. The server computer may then determine whether the user is traveling within a city or on a highway based on analysis of the traveling data for the trip of the user, which may include a statistical analysis to calculate standard deviations of metrics in the traveling data. In response to the determination, the server computer may generate a notification to transmit to the user based on whether the user is traveling within a city or on a highway and transmit the notification to the mobile device associated with the user.

Abstract: Systems and methods are disclosed for using a distributed ledger interface system to facilitate background verification of an individual. One method may include, sending, by a server to a first device associated with a first organization, an indication that an individual is ending the membership to the first organization; unlocking access to an individual-specific data structure in a distributed ledger, wherein the individual-specific data structure allows storage of a plurality of data values corresponding to a plurality of background aspects of the individual, and wherein the distributed ledger is shared within a plurality of nodes within a network; providing, to a user device associated with the individual, a digital key to allow permission to access the individual-specific data structure; and granting, to a second computing device associated with a second organization, and based on a permission received from the user device, access to the individual-specific data structure.

Abstract: Aspects of the disclosure relate to computing platforms that implement data driven testing through automation using continuous machine learning combined with continuous integration for development testing. A computing platform may extract production data from user interaction with an application, perform a masking operation on the production data to create modified production data, convert the modified production data into a format suitable for machine learning, and generate one or more independent scenarios using machine learning. The computing platform may automatically trigger execution of test scripts associated with the one or more independent scenarios using the modified production data and receive results of the executed test scripts indicating whether a version of the application performs as expected.

Abstract: Methods and systems for automatically generating validation scripts for software applications are disclosed. A computing device may receive a first application. The computing device may compare the first application to a plurality of stored applications. The computing device may determine a second application among the plurality of stored applications based on the comparing. The computing device may determine a first validation script associated with the second application. The computing device may automatically generate a second validation script for the first application based on the first validation script and a result of a comparison of the first application and the second application. The computing device may validate the first application using the second validation script.

Abstract: Aspects of the disclosure relate to computing platforms that implement data driven testing through automation using continuous machine learning combined with continuous integration for development testing. A computing platform may extract production data from user interaction with an application, perform a masking operation on the production data to create modified production data, convert the modified production data into a format suitable for machine learning, and generate one or more independent scenarios using machine learning. The computing platform may automatically trigger execution of test scripts associated with the one or more independent scenarios using the modified production data and receive results of the executed test scripts indicating whether a version of the application performs as expected.

Abstract: Apparatuses, systems, and methods are provided for interfacing a roadway obstacle and navigation system with an obstacle identification and route determination system to identify roadway obstacles based on vehicular data. The roadway obstacle and navigation system may receive vehicular data through sensor utilization and communications with electronic devices. The vehicular data may be analyzed by the roadway obstacle and navigation system in conjunction with the obstacle identification and route determination system to identify roadway obstacles. The roadway obstacle and navigation system may use the roadway obstacles to provide safety alerts to drivers.

Abstract: Telematics and external data relating to real-time driving of a population of drivers may be collected and used to calculate a driving pattern map. The driving pattern map is used to determine a driving quotient for individual drivers wherein the driving quotient is a relative score. The driving quotient may be displayed to the driver.

Abstract: Embodiments include implementing an iterative process to automatically develop a chatbot conversation for a conversation designer by receiving a conversation design input of one or more conversation design inputs from the conversation designer, identifying an intent based on the conversation design input, generating a development event based on the intent, retrieving a conversation chat flow from a set of conversation chat flows of a code sheet based on the development event, the code sheet comprising a set of conversations, the set of conversation chat flows, and a set of rules for code retrieval based on the set of conversations and the set of conversation chat flows, retrieving a chatbot computer program code based on the conversation chat flow and the set of rules from the code sheet, and repeating the iterative process until the chatbot computer program code is automatically retrieved from a code repository for each conversation design input.

Abstract: Telematics and external data relating to the real-time driving of a population of drivers vehicle may be collected and used to calculate a driving pattern map. The driving pattern map is used to determine a driving quotient for individual drivers wherein the driving quotient is a relative score. The driving quotient may be displayed to the driver.

Abstract: An intelligent scoring system includes a scorecard tool, a user input device, a memory component, a processor; and machine-readable instructions. The scorecard tool includes a scorecard and a neural network model. The machine-readable instructions stored in the memory component cause the intelligent scoring system to: receive a parameter rating for the scorecard for a first portion of a plurality of business performance parameters; automatically input the parameter rating for the scorecard for a second portion of the plurality of business performance parameters; associate a weighting with each parameter rating; estimate a parameter outcome score for each of the first portion and the second portion of the plurality of business performance parameters based on each parameter rating and weighting; automatically estimate an overall outcome score; and automatically generate a recommendation for improving the level of performance of the business unit.

Abstract: Aspects of the disclosure relate to enhanced selectable item availability processing systems with improved content and configuration update capability and enhanced selectable item availability output determinations. A computing platform may receive a selectable item availability configuration output comprising a configuration update to the selectable item availability output and a selectable item availability content output comprising a content update to the selectable item availability output. Based on the selectable item availability configuration output and the selectable item availability content output, the computing platform may generate an updated selectable item availability output. The computing platform may receive a request to access the selectable item availability output.

Abstract: A highway detection system may include a telematics device associated with a vehicle having one or more sensors arranged therein, a mobile device associated with a user traveling in the vehicle, and a server computer. The server computer may receive traveling data for a trip of the user from the one or more sensors and via the telematics device. The server computer may then determine whether the user is traveling within a city or on a highway based on analysis of the traveling data for the trip of the user, which may include a statistical analysis to calculate standard deviations of metrics in the traveling data. In response to the determination, the server computer may generate a notification to transmit to the user based on whether the user is traveling within a city or on a highway and transmit the notification to the mobile device associated with the user.

Abstract: Systems and methods are disclosed for automatically assessing and conforming software development modules to accessibility guidelines in real-time. The systems may facilitate an incremental development of applications. One or more modules or base codes of the application, as they are developed, may be tested for compliance to various accessibility standards (e.g., Web Content Accessibility Guidelines 2.0). If a module or base does not meet a specific threshold of compliance, systems and methods allow for an automatic modification of the module or base code to make it more compliant to the accessibility standards.

Abstract: Apparatuses, systems, methods, and computer-readable media are provided for analyzing an incoming telephonic event (e.g., call, message, and/or notification) to a mobile device during operation of a vehicle in relation to a combination of factors to determine if the incoming telephonic event is to be allowed to be received during vehicle operation. The mobile device may receive the incoming telephonic event during operation of the vehicle. An incoming telephonic event analysis application operating on the mobile device may apply a soft block preventing the incoming telephonic event from being displayed on the mobile device. Based on the incoming telephonic event data, vehicle operational data, user preferences, hands-free device activation, and driver and road ratings, the incoming telephonic event analysis application may determine whether or not to maintain the soft block or allow the incoming telephonic event to be displayed on the mobile device during operation of the vehicle.

Abstract: Apparatuses, systems, methods, and computer-readable media are provided for analyzing an incoming telephonic event (e.g., call, message, and/or notification) to a mobile device during operation of a vehicle in relation to a combination of factors to determine if the incoming telephonic event is to be allowed to be received during vehicle operation. The mobile device may receive the incoming telephonic event during operation of the vehicle. An incoming telephonic event analysis application operating on the mobile device may apply a soft block preventing the incoming telephonic event from being displayed on the mobile device. Based on the incoming telephonic event data, vehicle operational data, user preferences, hands-free device activation, and driver and road ratings, the incoming telephonic event analysis application may determine whether or not to maintain the soft block or allow the incoming telephonic event to be displayed on the mobile device during operation of the vehicle.

Abstract: Methods and systems for automatically generating validation scripts for software applications are disclosed. A computing device may receive a first application. The computing device may compare the first application to a plurality of stored applications. The computing device may determine a second application among the plurality of stored applications based on the comparing. The computing device may determine a first validation script associated with the second application. The computing device may automatically generate a second validation script for the first application based on the first validation script and a result of a comparison of the first application and the second application. The computing device may validate the first application using the second validation script.

Abstract: Telematics and external data relating to the real-time driving of a population of drivers vehicle may be collected and used to calculate a driving pattern map. The driving pattern map is used to determine a driving quotient for individual drivers wherein the driving quotient is a relative score. The driving quotient may be displayed to the driver.

Abstract: Telematics and external data relating to the real-time driving of a population of drivers vehicle may be collected and used to calculate a driving pattern map. The driving pattern map is used to determine a driving quotient for individual drivers wherein the driving quotient is a relative score. The driving quotient may be displayed to the driver.

Abstract: Apparatuses, systems, and methods are provided for interfacing a roadway obstacle and navigation system with an obstacle identification and route determination system to identify roadway obstacles based on vehicular data. The roadway obstacle and navigation system may receive vehicular data through sensor utilization and communications with electronic devices. The vehicular data may be analyzed by the roadway obstacle and navigation system in conjunction with the obstacle identification and route determination system to identify roadway obstacles. The roadway obstacle and navigation system may use the roadway obstacles to provide safety alerts to drivers.