Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for determining image compression optimums are provided. An image may be processed with a machine learning model that has been trained to identify object types in digital images. A first object and a first object type of the first object may be identified in the image. A first compressed version of the image may be generated, wherein the first compressed version has a first storage size. The first object and the first object type of the first object may be identified in the first compressed version of the image. A second compressed version of the image may be generated based on the identification of the first object and the first object type in the first compressed version of the image. The second compressed version may have a smaller storage size than the first storage size.

Abstract: A system and method for determining collaboration metrics of an application is described. The system accesses user activity data of an application from a plurality of user accounts of an enterprise. Collaboration metrics for each user account are identified based on the corresponding user activity data. The system identifies a first group and a second group of user accounts from the plurality of user accounts. The system generates a recommendation of a configuration setting of the application for the second group of user accounts. A graphical user interface (GUI) indicates the first group and the second group of user accounts, and the recommendation of the configuration setting of the application for the second group of user accounts.