Abstract: Systems and methods for delegated tenant administration in a cloud-based system include receiving a request to access a resource from a user device, wherein the resource is located in one of a public cloud and an enterprise network, and wherein the user device is associated with a user of a tenant of the cloud-based system; performing a policy lookup for determining policy governing access for the user to the resource, wherein the policy is based on a micro tenant associated with the tenant; providing a connection between the user device and the resource based on the policy and the micro tenant associated with the user.

Abstract: A method comprises identifying an area of worksite at which an operation is to be performed, identifying a historical rate of work metric, obtaining a model, identifying a number of work machines that are to perform the operation, identifying a crop type corresponding to the operation to be performed, identifying an ETC metric based on the area of the worksite, the historical rate of work metric, the number of work machines, the crop type, and the model. The method further comprises identifying, once the operation is initiated, a first weight metric, a second weight metric, a live estimate metric indicative of a first time until the work will be completed in the operation, and identifying an ETR metric, indicative of a second time until the work will be completed in the operation, based on the first weight metric, the ETC metric, the second weight metric, and the live estimate metric.

Abstract: During an initialization period of a machine learning model, an electronic data processor is configured to estimate an initial depletion estimate of time period until empty for a material in the tank or container of a machine based on summing initial weighted inputs to the machine learning model in accordance with an initial equation set being applicable to the initialization period that is defined by an initial sub-operation period. After the initialization period of the machine learning model, an electronic data processor is configured to estimate a revised depletion time, where the revised depletion time comprises a time duration until empty or near empty.

Abstract: A method comprises identifying an area of worksite at which an operation is to be performed, identifying a historical rate of work metric, obtaining a model, identifying a number of work machines that are to perform the operation, identifying a crop type corresponding to the operation to be performed, identifying an ETC metric based on the area of the worksite, the historical rate of work metric, the number of work machines, the crop type, and the model. The method further comprises identifying, once the operation is initiated, a first weight metric, a second weight metric, a live estimate metric indicative of a first time until the work will be completed in the operation, and identifying an ETR metric, indicative of a second time until the work will be completed in the operation, based on the first weight metric, the ETC metric, the second weight metric, and the live estimate metric.