Abstract: Systems and methods are provided for automatically changing or updating insurance coverage using a computer device. An insurance analyzer may receive data associated with an insurance user. The insurance analyzer may determine types of insurance coverage available and coverage amounts associated with the received user data. Based on the received data the insurance analyzer may automatically activate insurance coverage based on determined types of insurance available and coverage amounts. The insurance analyzer may also deactivate insurance coverage or change insurance coverage amounts based on determined user activity.

Abstract: Aspects of the disclosure relate to methods, computer-readable media, systems, and apparatuses for receiving data. An electronic computer implemented method of API testing and validation is provided. In the method, via a computer-based network, includes receiving a plurality of executable code requests for a first plurality of uniform resource network nodes associated with a first network protocol and a second plurality of uniform resource network nodes associated with a second network protocol. In the method each of the executable code requests are associated with a baseline attribute data value. Further, the method includes electronically receiving a plurality of payload response attribute data values associated with each executable request and electronically parsing the payload response attribute values with Parser component.

Abstract: Methods, computer-readable media, software, and apparatuses provide a system that may facilitate communications so that parents or other superiors may monitor driving behavior of a vehicle carrying children or other subordinates. The system may allow communications to be sent from a parent computing device to a particular child computing device to set conditions for notifying the parent or superior of the driving behavior of a vehicle. Child computing devices may collect drive data (e.g., vehicle telematics data) for the system to evaluate and determine whether conditions are met (e.g., whether parental restrictions, like a geo-fence, are violated). Further, the system may send notifications to child computing devices and parent computing devices indicating whether the drive data meets the conditions of an agreement between a parent and teen. The system may also provide a web portal for use in forming the agreement between parents and their teens.

Abstract: Methods, computer-readable media, software, and apparatuses may monitor consumer information in order to determine a probability of a data breach associated with a customer based on an online presence of the customer. The probability of a data breach may be used to present metrics to a consumer and/or a service provider. Further, the consumer may be presented with information indicating what factors contribute to the probability of a data breach, as well as information regarding how to reduce those factors.

Abstract: A driving analysis server may be configured to receive vehicle operation data from vehicle sensors, and may use the data to identify a potentially high-risk or unsafe driving event by the vehicle. The driving analysis server also may receive corresponding image data, video, or object proximity data from the vehicle or one or more other data sources, and may use the image, video, or proximity data to analyze the potentially high-risk or unsafe driving event. A driver score for the vehicle or driver may be calculated or adjusted based on the analysis of the data and the determination of one or more causes of the driving event.

Abstract: Methods, computer-readable media, systems, and/or apparatuses for providing offer and output generation functions are provided. For instance, a request for an output may be received by a device. In response, user physical trait data, pre-stored data, location data, and the like, may be extracted and received from a plurality of sources. Machine learning may be used to analyze the data to predict one or more factors associated with the user and the output or offer may be generated based on the predicted factors.

Abstract: One or more driving analysis computing devices in a driving analysis system may be configured to collect vehicle driving data and infrastructure data in response to a collision. Vehicle driving data may be received from a first vehicle involved in the collision and a second vehicle involved in the collision. Vehicle driving data may be received for vehicles within a defined radius of the first vehicle and/or the second vehicle. Infrastructure data from infrastructure elements within a defined vicinity of the first vehicle and/or the second vehicle may be received. The received data may be used to initiate an insurance claim, assess fault for the collision, and detect fraudulent claims.

Abstract: Aspects relate to a machine learning system implementing an evolutionary boosting machine. The system may initially select randomized feature sets for an initial generation of candidate models. Evolutionary algorithms may be applied to the system to create later generations of the cycle, combining and mutating the feature selections of the candidate models. The system may determine optimal number of boosting iterations for each candidate model in a generation by building boosting iterations from an initial value up to a predetermined maximum number of boosting iterations. When a final generation is achieved, the system may evaluate the optimal model of the generation. If the optimal boosting iterations of the optimal model does not meet solution constraints on the optimal boosting iterations, the system may adjust a learning rate parameter and then proceed to the next cycle. Based on termination criteria, the system may determine a resulting/final optimal mode.

Abstract: Aspects of the disclosure relate to an autonomous vehicle evaluation system that performs continuous evaluation of the actions, strategies, preferences, margins, and responses of an autonomous driving control system. A computing platform may receive sensor data from one or more autonomous vehicle sensors, manufacturer computing platform, or V2X computing platform. Based on this sensor data, the computing platform may determine one or more driving patterns. Based on a primary context corresponding to the one or more driving patterns, the computing platform may group the one or more driving patterns. The computing platform may determine a driving pattern degradation output indicating degradation corresponding to the one or more grouped driving patterns, and the computing platform may send the driving pattern degradation output to an autonomous driving system, which may cause the autonomous driving system to take corrective action accordingly.

Abstract: Systems, methods, apparatuses and computer-readable media for receiving data from one or more sensors associated with one or more home devices, such as appliances, home systems, etc. are presented. The data may be used to determine whether operation of the home device is within an acceptable range. If not, the user associated with the home device may receive an alert identifying a potential issue. One or more potential modifications to improve the home device may be identified and transmitted to the user. In some examples, an insurance incentive to implement the recommended modifications may also be transmitted to the user.

Abstract: Systems including one or more sensors, coupled to a vehicle, may detect sensor information and provide the sensor information to another computing device for processing. A system includes one or more sensors, coupled to a vehicle and configured to detect sensor information, and a computing device configured to communicate with one or more mobile sensors to receive the mobile sensor information, communicate with the one or more sensors to receive the sensor information, and analyze the sensor information and the mobile sensor information to identify one or more risk factors.

Abstract: A system includes a computing device configured to prompt a user to provide an open-ended query, receive, from an input device, the open-ended query, process the open-ended query with an artificial intelligence model. The computing device further classifies the user as either a first or second user level based on attributes of the open-ended query, and executes a rules-engine to analyze the intents and the entities identified by the artificial intelligence model and identify a fulfillment task from a plurality of rule defined tasks corresponding to the analysis of the intents and the entities such that the fulfillment task is identified to fulfill at least the intents. In response to classifying the user as the first user level, the computing device executes the fulfillment task, and in response to classifying the user as the second user level, the user is prompted with closed-ended inquiries to obtain additional intents or entities.

Abstract: Aspects described herein may allow for a plug-in device including a base having a plurality of apertures extending therethrough. A first PCB has a first surface defining a first plane, and a plurality of pins connected to and extending outwardly from the first surface, with each pin being received in one of the apertures of the base. A bracket secures the first PCB to the base. A second PCB is secured to the bracket, extending outwardly from the first PCB and defining a second plane, with the second plane being at an acute angle with respect to the first plane. An antenna housing is secured to the bracket and the second PCB and includes at least a first antenna. A cover is releasably secured to the base.

Abstract: A method, medium, and apparatus for allowing evaluation of property, such as damaged property, remotely and efficiently. A mobile computing device may be used to conduct bilateral communication between a client and an agent for evaluating property. The communications may comprise methods and systems for reconnecting using login-free connections, and may further comprise methods and systems for determining that wait times exceed a threshold wait time and presenting the client an option to receive a call back.

Abstract: Systems and methods for the automatic exchange of insurance information in response to a collision event are provided. A wireless communication device may collect telematics data related to operation of a vehicle. The wireless communication device may detect the occurrence of a collision event involving the vehicle based on the telematics data collected. The wireless communication device may discover another wireless communication device locating in the vicinity of the collision event that has also detected a collision event. The wireless device may initiate an exchange of insurance information with that other wireless communication device. Other types of information may be exchanged between the wireless devices as well as between an insurance system in signal communication with the wireless devices in response to a collision event.

Abstract: Event-based and subscription-based connected vehicle control and response systems, methods, and apparatus are disclosed. An example method comprises receiving first data acquired by a first plurality of vehicle operation sensors of a first vehicle from a first computing device associated with a first subscriber, identifying an occurrence of an event involving a second vehicle and a third vehicle based on the first data, receiving second data acquired by a second plurality of vehicle operation sensors of the second vehicle, identifying which vehicle of the second vehicle or the third vehicle is at-fault based on the first data and the second data, determining, for the first subscriber and responsive to determining that the first data was used in determining which of the first vehicle or the second vehicle is at-fault, one or more objects, and transmitting the one or more objects to the first computing device.

Abstract: Intelligent disturbance detection systems and methods of use to capture a disturbance via an application tool on a mobile smart device remote from the user, extract features from the disturbance, compare the extracted features to disturbance labels of a disturbance set in a comparison by a disturbance detection neural network model of the application tool, generate a disturbance label when the extracted features match the disturbance label in the comparison, train the model to generate a custom disturbance label associated with the extracted features when the extracted features do not match the one or more disturbance labels in the comparison, and generate an automatic alert via the mobile smart device to transmit an identification of the disturbance to the user based on the disturbance label, the custom disturbance label, or combinations thereof.

Abstract: A method is disclosed for mitigating the risks associated with operating an autonomous or semi-autonomous vehicle by using calculated route traversal values to select less risky travel routes and/or modify vehicle operation. Various approaches to achieving this risk mitigation are presented. A computing device is configured to generate a database of route traversal values. This device may receive a variety of historical route traversal information, real-time vehicle information, and/or route information from one of more data sources and calculate a route traversal value for the associated driving route. Subsequently, the computing device may provide the associated route traversal value to other devices, such as a vehicle navigation device associated with the autonomous or semi-autonomous vehicle. An insurance company may use this information to help determine insurance premiums for autonomous or semi-autonomous vehicles by analyzing and/or mitigating the risk associated with operating those vehicles.

Abstract: Systems, apparatuses, and methods for providing roadside assistance services are described herein. The system can include network computing devices and computing devices associated with vehicles and service vehicles. Requests for roadside services can be automatically assigned to an available service provider. Service providers can be ranked based on a variety of criteria and requests can be assigned based on the ranking. The ranking of service providers can be adjusted based on the performance of the service provider. If a service provider takes too long to respond to a request, the request can be automatically declined and an alternative service provider can be selected.

Abstract: Methods and systems for an intelligent technical debt helper may include receiving, via a processor, a level of technical debt associated with a technical debt of a computer program code and determining, via the processor, whether the level of technical debt is greater than a technical debt threshold. The method may also include generating, using an artificial intelligence neural network model communicatively coupled to the processor and based on the computer program code, an automated code recommendation to address the technical debt of the computer program code when the level of technical debt is greater than the technical debt threshold.