Abstract: Systems and methods are provided for asset utilization and trigger-based automation. A network management system may receive a receive a network management configuration that identifies a configuration of a set of assets to be allocated to a service. The network management system may generate an asset utilization dataset including a set of utilization values associated with the set of assets generated over a time. The asset utilization data set may be used to train a machine-learning model configured to generated predictions corresponding to a future utilization associated with the set of assets. The network management system may then execute the machine-learning model predict utilization of a first asset. Upon determining that the predicted utilization is greater than a threshold, the network management system may execute an action associated with the set of assets.

Abstract: A construction toy is disclosed. The construction toy comprises at least one prismatic or cylindrical housing with a closed end and an open end, with two or more connection means located on an external surface between the open end and closed end. The construction toy may further comprise an ornamental component, stickers, a motion activated illumination arrangement resulting in numerous modes of play of the construction toy. Multiple housings of the construction toy act as building blocks. The construction toy acts as a means to collect, display and store numerous ornamental components. The construction toy can be customised with stickers which can be revealed and hidden using a motion activated illumination arrangement comprising an infrared sensor and UV light.