Abstract: A system and method for managing access to entity identity data are described. The system comprises a communications module; a processor coupled with the communications module; and a memory coupled to the processor and storing processor-executable instructions which, when executed by the processor, configure the processor to authenticate a remote device as being associated with an entity; receive, via the communications module and from the remote device, pre-consent data identifying one or more third parties permitted to access entity identity data for the entity; store, in the memory, the pre-consent data in association with the entity; receive, via the communications module and from a digital identity network, a signal representing a request to release the entity identity data to the third party; determine, based on the pre-consent data, that the entity identity data is to be released to the third party; and initiate release of the entity identity data to a computing device associated with the third party.

Abstract: A server comprises a communications module; a processor coupled with the communications module; and a memory coupled to the processor and storing processor-executable instructions which, when executed by the processor, configure the processor to authenticate a user via a first authentication channel; receive, via the communications module and from a computing device associated with the user, a signal representing a request to transfer a first quantity of resources; determine that the first quantity of resources is less than a first threshold associated with the first authentication channel; obtain identity data associated with the request to transfer the first quantity of resources; determine, based on the identity data, that a request to transfer a second quantity of resources has been previously initiated by the user via a second authentication channel that is different than the first authentication channel; and determine that the sum of the first quantity of resources and the second quantity of resources i

Abstract: Methods and systems for facilitating photo-based estimation are described. In an aspect, a server is configured to send via a communications module to a remote computing device a first signal comprising a chat interface. The server may receive, via the communications module and from the remote computing device, a second signal representing input received at the remote computing device through the chat interface. The server may identify an account associated with the remote computing device and retrieve policy data associated with the identified account from the data store. The server may automatically evaluate the input and policy data against predetermined criteria to determine whether a claim has a low risk level and, when the claim is determined to have a low risk level, engage a photo-based estimation module.

Abstract: Described herein are examples of a computerized method that comprises: in response to obtaining information regarding a potential collision between a vehicle and an object, obtaining data describing the vehicle for a time period extending before and after a time of the potential collision. The method may determine a likelihood that the potential collision is a non-collision event based on the data describing the vehicle by performing one or more assessments. The assessments may include telematics monitor assessment, driver behavior assessment, road surface feature assessment, trip correlation assessment, and/or context assessment. In response to determining that the likelihood indicates that the potential collision is not a non-collision event, the method may trigger one or more actions responding to the potential collision.

Abstract: Described herein are various techniques, including systems and non-transitory instructions, that, in response to obtaining information regarding a potential collision between a vehicle and an object, obtain data describing the vehicle for a time period extending before and after a time of the potential collision. The system may determine a likelihood that the potential collision is a non-collision event based on the data describing the vehicle by performing one or more assessments. The assessments may include telematics monitor assessment, driver behavior assessment, road surface feature assessment, trip correlation assessment, and/or context assessment. In response to determining that the likelihood indicates that the potential collision is not a non-collision event, the system may trigger one or more actions responding to the potential collision.

Abstract: Described herein are examples of a computerized method that comprises: in response to obtaining information regarding a potential collision between a vehicle and an object, obtaining data describing the vehicle for a time period extending before and after a time of the potential collision. The method may determine a likelihood that the potential collision is a non-collision event based on the data describing the vehicle by performing one or more assessments. The assessments may include telematics monitor assessment, driver behavior assessment, road surface feature assessment, trip correlation assessment, and/or context assessment. In response to determining that the likelihood indicates that the potential collision is not a non-collision event, the method may trigger one or more actions responding to the potential collision.

Abstract: In a distributed cloud environment, a collecting agent deployed external to a kernel of a compute host collects network data packets describing various raw events communicated between compute instances of the environment and metadata associated with the events from various sources. The collecting agent communicates the metadata to a cloud application. The collecting agent also communicates the packets to a stream processor that is decoupled from the collecting agent. The stream processor processes the packets in a stateful manner to generate a set of time series data. The time series data is communicated to the cloud application, where a set of enhanced time series data is generated by merging the time series data with the metadata in a distributed manner. A topology map describing the compute instances of the distributed cloud environment is then generated based on the set of enhanced time series data. The topology map is then displayed.

Abstract: A system and method for managing access to entity identity data are described. The system comprises a communications module; a processor coupled with the communications module; and a memory coupled to the processor and storing processor-executable instructions which, when executed by the processor, configure the processor to authenticate a remote device as being associated with an entity; receive, via the communications module and from the remote device, pre-consent data identifying one or more third parties permitted to access entity identity data for the entity; store, in the memory, the pre-consent data in association with the entity; receive, via the communications module and from a digital identity network, a signal representing a request to release the entity identity data to the third party; determine, based on the pre-consent data, that the entity identity data is to be released to the third party; and initiate release of the entity identity data to a computing device associated with the third party.

Abstract: A server comprises a communications module; a processor coupled with the communications module; and a memory coupled to the processor and storing processor-executable instructions which, when executed by the processor, configure the processor to receive, via the communications module and from a computing device, a signal representing a request to add an authorized user to an account of an entity hosted by a first institution associated with the server; send, via the communications module and to a second server associated with a second institution hosting an account of the authorized user, a signal that includes a unique key and an identifier of the entity, the signal causing the second server to store the unique key and the identifier in memory and associating the unique key and the identifier with the account of the authorized user; receive a signal representing a request to perform an operation for the entity; in response to receiving the request to perform the operation, send, via the communications module

Abstract: Systems and methods for determining an estimated weight of a vehicle are provided. The system includes at least one data storage and at least one processor. The at least one data storage is configured to store vehicle data associated with the vehicle. The at least one processor is configured to: identify a plurality of vehicle maneuvers based on the vehicle data, each vehicle maneuver being associated with a portion of the vehicle data, each portion of the vehicle data comprising a measured torque profile; generate a plurality of simulated torque profiles for each vehicle maneuver; generate a plurality of error profiles, an error profile being generated for each vehicle maneuver based on differences between the plurality of simulated torque profiles and the measured torque profile corresponding to that vehicle maneuver; and determine the estimated weight of the vehicle based on the plurality of error profiles.

Abstract: A system and method for managing access to entity identity data are described. The system comprises a communications module; a processor coupled with the communications module; and a memory coupled to the processor and storing processor-executable instructions which, when executed by the processor, configure the processor to authenticate a remote device as being associated with an entity; receive, via the communications module and from the remote device, pre-consent data identifying one or more third parties permitted to access entity identity data for the entity; store, in the memory, the pre-consent data in association with the entity; receive, via the communications module and from a digital identity network, a signal representing a request to release the entity identity data to the third party; determine, based on the pre-consent data, that the entity identity data is to be released to the third party; and initiate release of the entity identity data to a computing device associated with the third party.

Abstract: A server comprises a communications module; a processor coupled with the communications module; and a memory coupled to the processor and storing processor-executable instructions which, when executed by the processor, configure the processor to receive, via the communications module and from a computing device, a signal representing a request to add an authorized user to an account of an entity hosted by a first institution associated with the server; send, via the communications module and to a second server associated with a second institution hosting an account of the authorized user, a signal that includes a unique key and an identifier of the entity, the signal causing the second server to store the unique key and the identifier in memory and associating the unique key and the identifier with the account of the authorized user; receive a signal representing a request to perform an operation for the entity; in response to receiving the request to perform the operation, send, via the communications module

Abstract: Methods and systems for facilitating photo-based estimation are described. In an aspect, a computing device is configured to receive, from the camera, a signal comprising image data. The image data may represent at least a portion of a vehicle. The computing device may also retrieve data representing a preferred scene of the vehicle and determine, based on the image data and based on the data representing the preferred scene of the vehicle, whether the image data corresponds to the preferred scene of the vehicle. The server may, when the received image data corresponds to the preferred scene of the vehicle, enable capture of the image data. The server may send, via the communications module, a signal representing the captured image data to a processing server configured to analyze the captured image data to assess vehicular damage.

Abstract: Methods and systems for facilitating photo-based estimation are described. In an aspect, a server is configured to receive, via the communications module from a remote computing device, a signal comprising image data obtained by the remote computing device, the image data including metadata identifying an image capture location and a time of image capture; obtain verification data, the verification data comprising sensor data received from the remote computing device and identifying a location of the remote computing device at the time of image capture; and evaluate the image data based on the verification data to verify the authenticity of the image data by comparing the image capture location in the metadata to the location of the remote computing device at the time of image capture.

Abstract: In a distributed cloud environment, a collecting agent deployed external to a kernel of a compute host collects network data packets describing various raw events communicated between compute instances of the distributed cloud environment and metadata associated with the events from various sources. The collecting agent communicates the metadata to a cloud service where it may be stored. The collecting agent communicates the packets to a stream processor that is decoupled from the collecting agent. The stream processor processes the packets in a stateful manner to generate a set of time series data. The time series data is communicated to the cloud application, where a set of enhanced time series data is generated by merging the time series data with the metadata in a distributed manner. A topology map describing the compute instances of the distributed cloud environment is then generated based on the set of enhanced time series data.

Abstract: A server comprises a communications module, a processor coupled to the communications module, and a memory coupled to the processor. The memory stores processor-executable instructions which, when executed by the processor, configure the processor to receive, via the communications module and from a remote computing device, video data of a vehicle in an original state, store, in the memory, at least some of the video data of the vehicle and associate the stored video data with an account, receive, via the communications module and from the remote computing device, an indication of a claim, the indication associated with an account identifier, retrieve, using the account identifier and from the memory, the video data of the vehicle in the original state from the memory, and send, via the communications module and to the remote computing device, instructions for obtaining video data of the vehicle based on the video data of the vehicle in the original state.

Abstract: A computer-implemented method is disclosed. The method includes: detecting a trigger event associated with a data record; in response to detecting the trigger event, enabling an access control for the data record, the access control defining one or more restrictions on accessing the data record; receiving at least one biometric data capture of a user and a digital form of at least one identification document associated with the user; obtaining verification results representing an identity verification status of the user based on a document verification process using the at least one biometric data capture and the digital form; in response to determining that the verification results satisfy first conditions: verifying user-inputted data based on contents of the at least one identification document; and in response to the verifying, disabling the access control for the data record.

Abstract: Methods and systems for facilitating photo-based estimation are described. In an aspect, a computing device is configured to receive, from the camera, a signal comprising image data. The image data may represent at least a portion of a vehicle. The computing device may also retrieve data representing a preferred scene of the vehicle and determine, based on the image data and based on the data representing the preferred scene of the vehicle, whether the image data corresponds to the preferred scene of the vehicle. The server may, when the received image data corresponds to the preferred scene of the vehicle, enable capture of the image data. The server may send, via the communications module, a signal representing the captured image data to a processing server configured to analyze the captured image data to assess vehicular damage.

Abstract: A server comprises a communications module; a processor coupled with the communications module; and a memory coupled to the processor and storing processor-executable instructions which, when executed by the processor, configure the processor to authenticate a user via a first authentication channel; receive, via the communications module and from a computing device associated with the user, a signal representing a request to transfer a first quantity of resources; determine that the first quantity of resources is less than a first threshold associated with the first authentication channel; obtain identity data associated with the request to transfer the first quantity of resources; determine, based on the identity data, that a request to transfer a second quantity of resources has been previously initiated by the user via a second authentication channel that is different than the first authentication channel; and determine that the sum of the first quantity of resources and the second quantity of resources i

Abstract: Systems and methods for determining an estimated weight of a vehicle are provided. The system includes at least one data storage and at least one processor. The at least one data storage is configured to store vehicle data associated with the vehicle. The at least one processor is configured to: identify a plurality of vehicle maneuvers based on the vehicle data, each vehicle maneuver being associated with a portion of the vehicle data, each portion of the vehicle data comprising a measured torque profile; generate a plurality of simulated torque profiles for each vehicle maneuver; generate a plurality of error profiles, an error profile being generated for each vehicle maneuver based on differences between the plurality of simulated torque profiles and the measured torque profile corresponding to that vehicle maneuver; and determine the estimated weight of the vehicle based on the plurality of error profiles.