Abstract: This disclosure describes a card-scan system that can update a card-scan machine learning model to improve card-character predictions for payment cards, driver licenses, or other character-bearing cards by using an active-learning technique that learns from card-scan representations indicating corrections by users to predicted card characters. In particular, the disclosed systems can use a client device to capture and analyze a set of card images of a character-bearing card to predict card characters using a card-scan machine learning model. The disclosed systems can further receive card-scan gradients representing one or more corrections to incorrectly predicted card characters. Based on the card-scan gradients, the disclosed systems can generate active-learning metrics and retrain or update the card-scan machine learning model based on such active-learning metrics.

Abstract: Displaying contact-related information is disclosed. An association between a contact address not specific to a source of contact-related information and an identity of an entity at the source of contact-related information may be determined. Information representing the association between the contact address and the identity of the entity at the source of contact-related information is stored. The information representing the association is stored at a node associated with a service configured to use the information representing the association to retrieve from the source of contact-related information a response data associated with the entity in response to an expression of interest in a contact with which the contact address is associated.

Abstract: Displaying contact-related information is disclosed. An association between a contact address not specific to a source of contact-related information and an identity of an entity at the source of contact-related information may be determined. Information representing the association between the contact address and the identity of the entity at the source of contact-related information is stored. The information representing the association is stored at a node associated with a service configured to use the information representing the association to retrieve from the source of contact-related information a response data associated with the entity in response to an expression of interest in a contact with which the contact address is associated.

Abstract: Displaying contact-related information is disclosed. An association between a contact address not specific to a source of contact-related information and an identity of an entity at the source of contact-related information may be determined. Information representing the association between the contact address and the identity of the entity at the source of contact-related information is stored. The information representing the association is stored at a node associated with a service configured to use the information representing the association to retrieve from the source of contact-related information a response data associated with the entity in response to an expression of interest in a contact with which the contact address is associated.

Abstract: Displaying contact-related information is disclosed. An association between a contact address not specific to a source of contact-related information and an identity of an entity at the source of contact-related information may be determined. Information representing the association between the contact address and the identity of the entity at the source of contact-related information is stored. The information representing the association is stored at a node associated with a service configured to use the information representing the association to retrieve from the source of contact-related information a response data associated with the entity in response to an expression of interest in a contact with which the contact address is associated.

Abstract: Displaying contact-related information is disclosed. An association between a contact address not specific to a source of contact-related information and an identity of an entity at the source of contact-related information may be determined. Information representing the association between the contact address and the identity of the entity at the source of contact-related information is stored. The information representing the association is stored at a node associated with a service configured to use the information representing the association to retrieve from the source of contact-related information a response data associated with the entity in response to an expression of interest in a contact with which the contact address is associated.

Abstract: A method, system and computer program product for suggestion processing in a customer relationship management (CRM) computing system is provided. The method includes communicatively coupling a pre-processor to different data sources of CRM related data of a CRM computing system and monitoring by the pre-processor the different data sources. In response to detecting changes in one or more of the different data sources, the pre-processor identifies different correlated actions to be suggested in connection with the detected changes, rates each of the correlated actions according to a combination of individual importance metrics computed for the correlated actions, filters the rated correlated actions to a subset based upon one or more filtering rules and presents in a user interface to the pre-processor each remaining correlated action along with a user interface control adapted to respond to activation by directing the CRM computing system to perform a corresponding correlated action.