Abstract: Methods, systems, and devices for data management are described. A data management system (DMS) may receive a request to backup data from a source data storage environment to a target data storage environment. The DMS may then input first workload metadata associated with backing up the data from the source data storage environment to the target data storage environment into a machine learning model that is trained using second workload metadata associated with a set of workloads managed by the data management system. The DMS may generate, via the machine learning model and in response to the request, one or more service level agreement configurations for backing up the data. Then, the DMS may perform the backup of the data from the source data storage environment to the target data storage environment in accordance with at least one of the one or more service level agreement configurations.

Abstract: Methods, apparatus, and program products are disclosed. Network information is accessed that corresponds to network elements in one or more wireless networks. Each of the one or more networks has an ability to serve multiple user equipment. Customer data is accessed that corresponds to the multiple user equipment in the networks. One or more optimization insights are generated using the network information and the customer data. The one or more generated optimization insights are utilized as one or more inputs to one or more pre-defined business policy-based workflows for a purpose of determining one or set of optimization functions. Execution of one or more selected optimization functions is orchestrated and the optimization function(s) are supplied with one or more of the generated optimization insights. The execution of the selected optimization function(s) cause triggering of action(s) defined to influence a selected one of the networks to provide an intended result.

Abstract: Methods, apparatus, and program products are disclosed. Network information is accessed that corresponds to network elements in one or more wireless networks. Each of the one or more networks has an ability to serve multiple user equipment. Customer data is accessed that corresponds to the multiple user equipment in the networks. One or more optimization insights are generated using the network information and the customer data. The one or more generated optimization insights are utilized as one or more inputs to one or more pre-defined business policy-based workflows for a purpose of determining one or set of optimization functions. Execution of one or more selected optimization functions is orchestrated and the optimization function(s) are supplied with one or more of the generated optimization insights. The execution of the selected optimization function(s) cause triggering of action(s) defined to influence a selected one of the networks to provide an intended result.