Abstract: A vehicle-related product recommendation is determined using artificial intelligence. A user requests a product for a vehicle, where the product is characterized by parameters (e.g., a tire is characterized by a load index, an insurance policy is characterized by a deductible, etc.). Images of the vehicle are captured for analysis using artificial intelligence to identify portions of the vehicle relevant for determining product parameters. Vehicle health metrics are determined for the identified portions of the vehicle and the product parameters are calculated using the vehicle health metrics. A product parameter of the calculated product parameters is provided to the user for acceptance.

Abstract: A data processing model builder precompiles a data processing model using a dependency tree and parameters provided by a provider of a product or service. New parameters can be provided in an intuitive way, without the need to understand computer program code, and a new data processing model can be compiled quickly and efficiently. The precompiled data processing model can then be deployed to provide personalized parameters for the product or service to end users almost instantaneously on request.

Abstract: A mobile device initiates automatic action-based product provisioning for rides. The mobile device detects a ride protection trigger and alerts a management server of the detected ride protection trigger. The mobile device also retrieves ride information from a ride application and sends the ride information to the management server. The management server determines a ride action based on the ride protection trigger and the ride information. The management server identifies a product based on the determined ride action and sends the ride information and a request for a dynamic product to a product provisioning server. The product provisioning server generates the dynamic product based on the request and the ride information and sends the generated dynamic product to the management server. The management server may send the dynamic product to the mobile device for display.

Abstract: A mobile device initiates automatic action-based product provisioning for rides. The mobile device detects a ride protection trigger and alerts a management server of the detected ride protection trigger. The mobile device also retrieves ride information from a ride application and sends the ride information to the management server. The management server determines a ride action based on the ride protection trigger and the ride information. The management server identifies a product based on the determined ride action and sends the ride information and a request for a dynamic product to a product provisioning server. The product provisioning server generates the dynamic product based on the request and the ride information and sends the generated dynamic product to the management server. The management server may send the dynamic product to the mobile device for display.

Abstract: A mobile device initiates automatic action-based product provisioning for rides. The mobile device detects a ride protection trigger and alerts a management server of the detected ride protection trigger. The mobile device also retrieves ride information from a ride application and sends the ride information to the management server. The management server determines a ride action based on the ride protection trigger and the ride information. The management server identifies a product based on the determined ride action and sends the ride information and a request for a dynamic product to a product provisioning server. The product provisioning server generates the dynamic product based on the request and the ride information and sends the generated dynamic product to the management server. The management server may send the dynamic product to the mobile device for display.

Abstract: A mobile device initiates automatic action-based product provisioning for rides. The mobile device detects a ride protection trigger and alerts a management server of the detected ride protection trigger. The mobile device also retrieves ride information from a ride application and sends the ride information to the management server. The management server determines a ride action based on the ride protection trigger and the ride information. The management server identifies a product based on the determined ride action and sends the ride information and a request for a dynamic product to a product provisioning server. The product provisioning server generates the dynamic product based on the request and the ride information and sends the generated dynamic product to the management server. The management server may send the dynamic product to the mobile device for display.

Abstract: A mobile device initiates automatic action-based product provisioning for rides. The mobile device detects a ride protection trigger and alerts a management server of the detected ride protection trigger. The mobile device also retrieves ride information from a ride application and sends the ride information to the management server. The management server determines a ride action based on the ride protection trigger and the ride information. The management server identifies a product based on the determined ride action and sends the ride information and a request for a dynamic product to a product provisioning server. The product provisioning server generates the dynamic product based on the request and the ride information and sends the generated dynamic product to the management server. The management server may send the dynamic product to the mobile device for display.

Abstract: Implementations of the disclosure provide for to remotely testing operational components of a mobile device. In one implementation, a method is provided. The method includes providing, by a server processing device, instructions to a mobile device for a user to interact with a component of the mobile device. Data associated with an operation of the component in view of the instructions is received. The received data is compared to a model input characterizing a functional level associated with the operation of the component. Thereupon, it is determined whether there is a depleted operation of the component in view of the comparison.

Abstract: Data is received characterizing claim information submitted for approval by a member of a peer-to-peer risk pool. The claim information is inserted as a transaction into a block using a private key. The block is added to a chain of blocks, the chain of blocks including prior claim and payment information of the member. The chain of blocks is distributed to a plurality of additional members of the peer-to-peer risk pool for review by the additional members for approving or disproving the claim. Related apparatus, systems, techniques, and articles are also described.

Abstract: Implementations of the disclosure provide for to remotely testing operational components of a mobile device. In one implementation, a method is provided. The method includes providing, by a server processing device, instructions to a mobile device for a user to interact with a component of the mobile device. Data associated with an operation of the component in view of the instructions is received. The received data is compared to a model input characterizing a functional level associated with the operation of the component. Thereupon, it is determined whether there is a depleted operation of the component in view of the comparison.

Abstract: Implementations of the disclosure provide for to remotely testing operational components of a mobile device. In one implementation, a method is provided. The method includes providing, by a server processing device, instructions to a mobile device for a user to interact with a component of the mobile device. Data associated with an operation of the component in view of the instructions is received. The received data is compared to a model input characterizing a functional level associated with the operation of the component. Thereupon, it is determined whether there is a depleted operation of the component in view of the comparison.

Abstract: Implementations of the disclosure provide for to remotely testing operational components of a mobile device. In one implementation, a method is provided. The method includes providing, by a server processing device, instructions to a mobile device for a user to interact with a component of the mobile device. Data associated with an operation of the component in view of the instructions is received. The received data is compared to a model input characterizing a functional level associated with the operation of the component. Thereupon, it is determined whether there is a depleted operation of the component in view of the comparison.

Abstract: In one implementation, a method is provided. The method includes receiving, at a server processing device, data for a geographic location associated with a targeted user mobile device. A database of episodic events corresponding to the geographic location is searched. A qualifying episodic event corresponding to the geographic location is identified in the database. A product offering specific to the qualifying episodic event is selected. Thereupon, the product offering is delivered to the targeted user mobile device.

Abstract: Data is received characterizing claim information submitted for approval by a member of a peer-to-peer risk pool. The claim information is inserted as a transaction into a block using a private key. The block is added to a chain of blocks, the chain of blocks including prior claim and payment information of the member. The chain of blocks is distributed to a plurality of additional members of the peer-to-peer risk pool for review by the additional members for approving or disproving the claim. Related apparatus, systems, techniques, and articles are also described.