Abstract: A smart rollout recommendation system uses a modernization score that indicates a likelihood of accepting a change in an existing product to identify at least one tenant of a plurality of tenants eligible to receive the change and the timing of the rollout. The modernization score is generated using a set of attributes extracted from tenant profiles and a machine learning model.

Abstract: A character entry machine includes a user interface presented via a display. The user interface includes a character-entry field and a fixed character-selection band displaying a one-dimensional array of a selectable subset of a plurality of circularly-scrollable characters. A character selection controller is configured to add a selected character to the character-entry field responsive to a selection input selecting the selected character from the selectable subset of the plurality of circularly-scrollable characters. A scroll controller is configured to change the selectable subset of the plurality of circularly-scrollable characters to a changed selectable subset of the plurality of circularly-scrollable characters responsive to a scroll input.

Abstract: Examples are disclosed that relate to detecting and providing alerts regarding a possible scam voice call. One example provides a method comprising receiving a voice call, and obtaining, during the voice call, a caller number and a caller voice sample. The method further comprises obtaining, via the caller number and the caller voice sample, a risk determination regarding the risk that the voice call is a scam call, and based upon the risk determination, outputting, during the voice call, an alert regarding the risk that the voice call is a scam call.

Abstract: Examples are disclosed that relate to detecting and providing alerts regarding a possible scam voice call. One example provides a method comprising receiving a voice call, and obtaining, during the voice call, a caller number and a caller voice sample. The method further comprises obtaining, via the caller number and the caller voice sample, a risk determination regarding the risk that the voice call is a scam call, and based upon the risk determination, outputting, during the voice call, an alert regarding the risk that the voice call is a scam call.

Abstract: A method for dynamically generating a location-based contact list available on a local device of a user is provided. In accordance with the method, contextual data concerning user contacts is collected. The contextual data describes the behavior of the user contacts and provides indicia of geographic locations where the user contacts will be present at future times. Based on the collected contextual data, selected ones of the user contacts are identified who will be present at a specified geographic location at a specified future time. A location-based contact list is populated with the selected ones of the user contacts who will be present at the specified geographic location at the specified future time. The specified geographic location may be a location the user will be visiting at the specified future time.