Abstract: An autonomous vehicle (AV) computing device including at least one processor may be provided. The at least processor may be programmed to (i) receive a proposed trip including a destination location and a departure time, (ii) determine environmental conditions data based on the destination location and the departure time, (iii) retrieve current software ecosystem data for the AV, (iv) retrieve aggregated data for a plurality of AVs, the aggregated data including a plurality of correlations, each correlation including a) an interaction between at least one software application and at least one environmental condition and b) an adverse performance outcome associated with the interaction, (v) compare the environmental conditions data for the proposed trip and the current software ecosystem data for the AV to the plurality of correlations to identify an adverse performance outcome, and (vi) execute a remedial action to avoid the adverse performance outcome.

Abstract: This disclosure describes techniques for performing batch processing using a custom batch processing routine (e.g., a custom filtering routine) that calls a native batch processing routine (e.g., a native filtering routine) associated with a batch processing system as well as a rule database for one or more additional filtering rules. In some cases, a custom filtering routine may be configured to: (i) receive a batch of data, (ii) call a native filtering routine to process the received batch data, and (iii) apply one or more additional filtering operations on the output of the native filtering routine. For example, the custom filtering routine may be configured to: (i) make a query to the rule database to extract one or more filtering rules, and (ii) apply the extracted filtering rules to the output of the native filtering routine to perform the additional filtering operations.

Abstract: Various techniques described herein relate to a client application framework for a contact center environment. A role-specific thick client framework may include a web browser-based application having multiple processes that can be distributed across the computing infrastructure of the client device. A portion of the framework may include a container application image received from an internal server of the contact center and launched by the client device. The framework also may include queuing and communication services executing on the client device, which interface with the internal client application and external service providers to support a common queuing framework and an integrated model implementation across the contact center environment.

Abstract: A data pipeline tool provides a machine-learning design interface that a user can utilize (e.g., via an electronic device such as a personal computer, tablet, or smart phone) to design or configure data pipelines or workflows defining the manner in which ML models are developed, trained, tested, validated, or deployed. Once deployed, a designed ML model may generate predictive results based on input data fed to the ML model. The tool may present the predictive results via a GUI, and may enable a user to mark-up or otherwise interact with those predictive results. The tool may enable the user to share the results (which may include a mark-up or annotation provided by a user).

Abstract: Methods and systems for autonomous and semi-autonomous vehicle control relating to malfunctions are disclosed. Malfunctioning sensors or software of autonomous vehicles may be identified from operating data of the vehicle, and a component maintenance requirement status associated with such malfunctioning component may be generated. Based upon such status, usage restrictions may be enacted to limit operation of the vehicle while the component is malfunctioning. This may include disabling or restricting use of certain autonomous or semi-autonomous features of the vehicle until the component is repaired or replaced. Repair may be accomplished by automatically scheduling repair of the vehicle or installing an updated or uncorrupted version of a software program, in various embodiments.

Abstract: A system and method may collect telematics and/or other data, and apply the data to insurance-based applications. From the data, an insurance provider may determine accurate vehicle usage information, including information regarding who is using a vehicle and under what conditions. An insurance provider may likewise determine risk levels or a risk profile for an insured driver (or other drivers), which may be used to adjust automobile or other insurance policies. The insurance provider may also use the data collected to adjust behavior based insurance using incentives, recommendations, or other means. For customers that opt-in to the data collection program offered, the present embodiments present the opportunity to demonstrate a low or moderate risk lifestyle and the chance for insurance-related savings based upon that low or moderate risk.

Abstract: Various techniques described herein relate to building and using representative data systems to store and manage representative profile data within contact centers. A representative data system integrates with external communication services and other internal/external systems to provide a uniform data store and interface to create and manage representative profiles. The representative data system retrieves and analyzes representative profile data during runtime contact center operations such as contact queuing, contact management, and/or workforce management. The representative data system may be implemented using relational or graph-based data structures to support advanced predictive modeling and impact analysis of scenarios such as service outages, dynamic workload shifting, infrastructure changes, and workforce changes.

Abstract: Provided herein is a computer system including at least one processor in communication with a memory. The at least one processor programmed to: (i) retrieve, from the memory, rules associated with running one or more applications on a third-party server, (ii) transmit a query to the third-party server to retrieve application data associated with the one or more applications run on the third-party server, (iii) compare the stored rules and the application data, (iv) determine, based upon the comparison, that at least one of the one or more applications does not conform to at least one of the rules, and (v) transmit a notification to a user associated with the at least one application including the rules that the at least one application is not in conformance with.

Abstract: Provided herein is an engagement and care support platform (“ECSP”) computer system including at least one processor in communication with at least one memory device for facilitating senior user engagement. The processor is programmed to: (i) register a user through an application, (ii) register a caregiver associated with the user through the application, (iii) generate a senior profile based upon user personal and scheduling data, (iv) build a daily interactive user interface that reflects the senior profile, (v) display the daily interactive user interface at a first client device associated with the user, (vi) cause the first client device to initiate a daily interaction prompt to the user, (vii) determine whether any user interaction was received in response to the daily interaction prompt, and (viii) transmit a daily update message to a second client device associated with the caregiver, including an indication of whether any user interaction was received.

Abstract: An insurance server for using a tokenized icon to provide an insurance quote or submit an insurance claim may include a processor programmed to receive an image from a user application, and data associated with the image, wherein at least a portion of the obtained data is associated as metadata with the tokenized icon. The processor may instruct the user application to use an icon associated with the tokenized icon as a first graphical object, and to modify, in response to an association of the first graphical object with a second graphical object in the user application, the metadata of the tokenized icon based upon data associated with the second graphical object. The processor may transmit the virtual quote or proposed insurance claim to the user application, the virtual quote or proposed insurance claim being based upon the modified metadata. As a result, the online customer experience may be enhanced.

Abstract: A computer-implemented method may include generating, by a trained response-generating model, one or more simulated responses to an inquiry for one or more known members based upon a simulated population for a real-life population. The method further may include (i) transmitting simulated responses to be displayed on a user interface on a user device; and/or (ii) receiving, from the user device, user feedback for the one or more simulated responses. The method may also include re-training the trained response-generating model based upon the simulated responses and the user feedback. Other embodiments are disclosed.

Abstract: Simulated characters for a real-life population group (such as a market segment or other group) based upon member characteristics are determined. Each of the simulated characters may be associated with: (a) a population group, and/or (b) respective characteristic values corresponding to the member characteristics. One or more matched simulated characters of the simulated characters for one or more known members of the real-life population may be determined based upon one or more known-member characteristic values associated with the one or more known members. A simulated population for the real-life population may be determined based upon the one or more matched simulated characters. One or more simulated responses to an inquiry for the one or more known members may be determined based upon the simulated population. The one or more simulated responses may be transmitted to and displayed on a user interface on a user device. Other embodiments are disclosed.

Abstract: A computer-implemented method may include determining a respective simulated population for each simulated character of multiple simulated characters based upon respective characteristic values associated with each simulated character. Determining the respective simulated population may include: (a) determining a respective associated population group of multiple population groups for a real-life population based upon each simulated character; (b) determining respective member characteristics for the respective associated population group; and/or (c) generating each simulated member of the respective simulated population. Generating each simulated member may include associating each simulated member with one or more respective altered characteristic values altered based upon the respective characteristic values associated with each simulated character and the respective member characteristics for the respective associated population group. Other embodiments are disclosed.

Abstract: Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Malfunctions may be detected by receiving sensor data from a plurality of sensors. One of these sensors may be selected for assessment. An electronic device may obtain from the selected sensor a set of signals. When the set of signals includes signals that are outside of a determined range of signals associated with proper functioning for the selected sensor, it may be determined that the selected sensor is malfunctioning. In response, an action may be performed to resolve the malfunction and/or mitigate consequences of the malfunction.

Abstract: A computer system including a processor in communication with a memory and a database may be provided. The processor may be programmed to: (i) execute a query on the database including a list of user identifiers associated with a plurality of users, (ii) receive license data associated with the user identifiers including a list of licenses and respective license renewal data associated with each user, (iii) determine, from the license data, that one or more licenses of a group of users is in a renewal period, (iv) notify each user of the group of users of the one or more licenses in the renewal period, (v) pre-populate a license renewal application for the one or more licenses in the renewal period the group of users, (vi) transmit the pre-populated application to be approved by the group of users, and (vii) receive the approved pre-populated application from the group of users.

Abstract: Systems and methods for using image analysis techniques to facilitate adjustments to vehicle components are disclosed. According to aspects, a computing device may access and analyze image data depicting an individual(s) within a vehicle, and in particular determine a positioning of the individual(s) within the vehicle. Based on the positioning, the computing device may determine how to adjust a vehicle component(s) to its optimal configuration, and may facilitate adjustment of the vehicle component(s) accordingly.

Abstract: A software project management system can store object data about components of a software development project, such epics, features, and stories. The software project management system can also store dependency objects that reflect dependency relationships between two or more components of the software development project. The dependency objects can track status information about the dependency relationships, including expected completion dates, acceptance criteria, and state indicators. The information stored in the dependency objects can be updated over time as information about the dependency relationship changes. The software project management system can also use the dependency objects to display information in a user interface about one or more dependency relationships, such as to indicate which dependency relationships are on track or behind schedule.

Abstract: A system for instructing a user on repairing a vehicle configured to (i) receive, from the user, a request to repair a vehicle, including information about the vehicle; (ii) present, to the user via a user computer device, a user interface to allow the user to search for a repair facility to repair the vehicle; (iii) receive, from the user via the user interface, a selection of a repair facility; (iv) determine whether the selected repair facility is a select service location, where a select service location is a pre-authorized repair facility; and (v) if the selected repair facility is a select service location, transfer the information about the vehicle to a computer device associated with the selected repair facility.

Abstract: Various techniques described herein relate to using a shared hierarchical data design model for creating and transferring data within distributed systems. Components within a distributed system may access a shared hierarchical data design model when designing and creating software components, data structures, or application programming interfaces (APIs) through which data is transferred. Additional techniques include verifying and enforcing that the components of the distributed system conform with the shared hierarchical data design model, including using design/development environments and element-by-element analyses of the data structures transferred between components of the distributed system.

Abstract: A data processing and relocation alerts system for processing data and provided relocation alerts is provided. The data processing and relocation alerts system includes at least one processor in communication with at least one database. The at least one processor is programmed to: (i) store profile data for registered users including at least a user identifier, contact data, at least one asset identifier, and an asset location; (ii) receive geographical location data for an impact area; (iii) store the impact area location data in the database; (iv) compare the impact area location data to the registered user profile data to identify the at least one registered asset located within the impact area; (v) retrieve contact information of impacted registered users based on the comparison; (vi) identify at least one safe area for relocation of the at least one registered asset; (vii) transmit a relocation alert using the contact information.