Abstract: A central database system trains and applies machine-learned models based on characteristics of one or more entities associated with the central database system. For instance, the central database system trains a machine-learned model configured to identify issues a target entity is likely to encounter based on training data identifying characteristics of historical entities and issues faced by the historical entities. Likewise, the central database system trains machine-learned models configured to predict actions that entities are likely to take in the future, and resources required to take those actions. The central database system can then perform one or more proactive actions or make one or more recommendations based on the predicted issues, the predicted future actions, and the predicted required resources.

Abstract: A central database system trains and applies machine-learned models based on characteristics of one or more entities associated with the central database system. For instance, the central database system trains a machine-learned model configured to identify issues a target entity is likely to encounter based on training data identifying characteristics of historical entities and issues faced by the historical entities. Likewise, the central database system trains machine-learned models configured to predict actions that entities are likely to take in the future, and resources required to take those actions. The central database system can then perform one or more proactive actions or make one or more recommendations based on the predicted issues, the predicted future actions, and the predicted required resources.

Abstract: A central database system trains and applies machine-learned models based on characteristics of one or more entities associated with the central database system. For instance, the central database system trains a machine-learned model configured to identify issues a target entity is likely to encounter based on training data identifying characteristics of historical entities and issues faced by the historical entities. Likewise, the central database system trains machine-learned models configured to predict actions that entities are likely to take in the future, and resources required to take those actions. The central database system can then perform one or more proactive actions or make one or more recommendations based on the predicted issues, the predicted future actions, and the predicted required resources.

Abstract: A non-transitory computer readable medium having program instructions configured to cause a computing device to execute an interface editor that performs the following operations: rendering through a head-mounted display (HMD) a view of a three-dimensional virtual space, the interface editor being configured to enable placement of user interface elements in the virtual space to define a virtual reality user interface for an interactive application; wherein the interface editor is configured to define within the virtual space a central zone and a lateral zone for placement of the user interface elements; receiving, by the interface editor, input indicating an attempt to move a given user interface element from the central zone to the lateral zone; responsive to receiving the input, generating, by the interface editor, a counteractive response that opposes the attempt to move the given user interface element from the central zone to the lateral zone.

Abstract: A non-transitory computer readable medium having program instructions configured to cause a computing device to execute an interface editor that performs the following operations: rendering through a head-mounted display (HMD) a view of a three-dimensional virtual space, the interface editor being configured to enable placement of user interface elements in the virtual space to define a virtual reality user interface for an interactive application; wherein the interface editor is configured to define within the virtual space a central zone and a lateral zone for placement of the user interface elements; receiving, by the interface editor, input indicating an attempt to move a given user interface element from the central zone to the lateral zone; responsive to receiving the input, generating, by the interface editor, a counteractive response that opposes the attempt to move the given user interface element from the central zone to the lateral zone.