Abstract: Various embodiments are directed to apparatuses, methods, and computer program products for executing centralized data verification using supported data structures associated with one or more third-party system.

Abstract: An apparatus, method, and computer program product are provided for the improved and automatic prediction and modeling of one or more channels and relevant conditions through which resources may be directed to users in an environment where resource demand, utility, and perceived value vary over time. Some example implementations employ predictive, machine-learning modeling to facilitate the use of multiple disparate and unrelated data sets to extrapolate and otherwise predict the future needs for certain resources and identify the channels and conditions that may be employed to meet such future needs. An apparatus, method, system, and computer program product are provided for improved generating, adjusting, and/or facilitating approval of a resource offer set. Some example implementations employ one or more predictive models.

Abstract: Provided are systems and methods for programmatically weighting disparate inputs to optimize a predictive model. The predictive model may generate component weighted values associated with each disparate input to facilitate programmatic combination of the disparate inputs, and an aggregated weighted value may be generated from the combined component weighted values. Aggregated weighted values may be generated for a plurality of input sets, each of which may be programmatically scored relative to the remaining input sets. In some embodiments, the predictive model and an associated engine may be packaged for instantiation and execution on a local terminal.

Abstract: An apparatus, method, and computer program product are provided for the improved and automatic prediction and modeling of one or more channels and relevant conditions through which resources may be directed to users in an environment where resource demand, utility, and perceived value vary over time. Some example implementations employ predictive, machine-learning modeling to facilitate the use of multiple disparate and unrelated data sets to extrapolate and otherwise predict the future needs for certain resources and identify the channels and conditions that may be employed to meet such future needs. An apparatus, method, system, and computer program product are provided for improved generating, adjusting, and/or facilitating approval of a resource offer set. Some example implementations employ one or more predictive models.

Abstract: Embodiments of the present disclosure provided herein include methods, computer readable mediums, apparatus, and systems for facilitating diagnosis and repair of one or more performance states associated with a computing device.

Abstract: An apparatus, method, and computer program product are provided for the improved and automatic prediction of an elevation of an architectural feature of a structure at a particular geographic location. Some example implementations employ predictive, machine-learning modeling to facilitate the use of LiDAR-derived ground-elevation data, additional location context data, and elevation data from comparator locations to extrapolate and otherwise predict the elevation or other position of a given architectural feature of structure.

Abstract: Embodiments of the present disclosure provide for reduced-reliance onboarding with respect to a service provider application, including but not limited to vehicle service provider applications. Embodiments provide a custom onboarding message that enables onboarding of at least one data object via access, by a user device, of the custom onboarding message with reduced-reliance. Example embodiments receive, from a provider system, acquisition data including at least user communication channel data usable for transmitting information to a user device associated with the customer, generating a subject data object comprising at least a portion of the subject information, attempting initiation of an custom onboarding message to be accessed by the user device associated with the customer, receiving an indication that the customer accessed the custom onboarding message via the user device, and updating data associated with the subject data object to indicate completion of onboarding.

Abstract: Systems and methods for subscription-based product referrals are provided. In example embodiments, a user request to refer a subscription is received. A user selection of a social network connection having a social network relationship with the user on a social network service is received. A referral request is transmitted to a device of the social network connection. Acceptance of the referral request is determined. Based on determining acceptance of the referral request, a credit is provided to the user.

Abstract: Systems and methods are disclosed herein that can detect use of a consumer electronics device and that can generate and offer insurance or protection plans that measure, account, and adjust for the use of the consumer electronics device and consumer tendencies while using the consumer electronics device.

Abstract: Systems and methods are disclosed herein that can detect use of a consumer electronics device and that can generate and offer insurance or protection plans that measure, account, and adjust for the use of the consumer electronics device and consumer tendencies while using the consumer electronics device.

Abstract: Various embodiments of the present disclosure are directed to improved systems, apparatuses, methods, and computer program products for managing and synchronizing independent computing resources. In this regard, embodiments may manage and/or synchronize computing resources, data, and the like between the embodiments and various independent third-party systems, while handling transmission errors that occur during synchronization. In an example context, embodiments manage synchronization of subscriber profiles between the various systems. Some embodiments manage computing resources for processing one or more unprocessed actions of various types, for example by scaling executed process instances based on an action queue length and a queue length minimum threshold and/or queue length maximum threshold.

Abstract: Embodiments of the present disclosure relate to electronic lockout of a client device, specifically to managing electronic lockout of a client device associated with a claim process via a device protection program management system and third-party provider. In this regard, embodiments herein may process various data associated with determining whether to authorize a claim under a device protection program, and cause initiation of and/or termination of an electronic lockout of a client device depending on received data and/or lack of received data. In this regard, example embodiments include receiving a device claim request indication associated with a client device, where the client device is associated with a functionality lockout state; initiating a claim associated with the client device; causing initiation of an electronic lockout of the client device; processing the claim to determine whether to authorize the claim; and causing updating of the electronic lockout based on the determination.

Abstract: A system, apparatus, method and computer program product are provided for determining a mobile device integrity status. Images of a mobile device captured by the mobile device and using a reflective surface are processed with various trained models, such as neural networks, to verify authenticity, detect damage, and to detect occlusions. A mask may be generated to enable identification of concave occlusions or blocked corners of an object, such as a mobile device, in an image. Images of the front and/or rear of a mobile device may be processed to determine the mobile device integrity status such as verified, not verified, or inconclusive. A user may be prompted to remove covers, remove occlusions, and/or move the mobile device closer to the reflective surface. A real-time response relating to the mobile device integrity status may be provided. The trained models may be trained to improve the accuracy of the mobile device integrity status.

Abstract: A system is configured to track and store system and event data for various computing devices. The system is configured to associate the various computing devices with profiles based at least in part on characteristics of the computing devices. The system is further configured to compare performance data and/or performance metrics for particular computing devices having a particular profile against all other devices that share the particular profile. The system then displays this comparison to a user of the particular computing device, substantially automatically diagnoses an issue with the particular computing device based on the performance and system event data, and/or enables the user to diagnose the problem based on the performance and system event data.

Abstract: An apparatus, method, and computer program product are provided for the improved and automatic prediction of a relativistic, observer-specific perception and response to a potential event and, based at least in part on the predicted perception and response, generating and presenting observer-specific digital content items. Some example implementations employ predictive, machine-learning modeling to facilitate user-specific event perception and response prediction and the selection of particularized messages and other digital content items for presentation to the user.

Abstract: A method is provided for providing mobile device support services. The method may include monitoring a mobile device status. The method may additionally include performing device diagnostics based at least in part on captured device status data to identify potential faults that may affect mobile device functionality. A corresponding system, apparatus, and computer program product are also provided.

Abstract: Methods, systems, apparatuses, and computer readable media for monitoring and maintaining vehicle condition. An apparatus of an example embodiment includes means for receiving a partial dataset indicator for a certain type of dataset. Said apparatus also includes means for providing at least one complete dataset indicator. The partial dataset indicator and the at least one complete dataset indicators provides an indication of one or more terms in their respective dataset. Said apparatus further includes means for determining at least one of the one or more terms of the partial dataset. Said apparatus still further includes means for causing the transmission of at least one of the one or more determined terms of the partial dataset for use by a mobile application. Corresponding systems, methods, and computer readable media are also provided.

Abstract: A method is provided for providing mobile device support services. The method may include monitoring a mobile device status. The method may additionally include performing device diagnostics based at least in part on captured deice status data to identify potential faults that may affect mobile device functionality. A corresponding system, apparatus, and computer program product are also provided.

Abstract: Systems and methods for automatically grading a user device are provided. Such systems and methods can include (1) a lighting element positioned at an angle relative to a platform, (2) an imaging device positioned at the angle relative to the platform such that light emitted from the lighting element and a field of view of the imaging device form a right angle where the light emitted from the lighting element and the field of view meet at a user device when the user device is positioned at a predetermined location on the platform, and (3) control circuitry that can activate the lighting element, instruct the imaging device to capture an image of a screen of the user device while the user device is at the predetermined location and is being illuminated by the first lighting element, and parse the image to determine whether the screen is damaged.