Abstract: Methods, systems, apparatus and computer program products for implementing machine learning within control systems are disclosed. An industrial facility setting slate can be received from a machine learning system and a determination can be made as to whether to adopt the settings in the industrial facility setting slate. The machine learning model can be a neural network, e.g., a deep neural network, that has been trained, e.g., using reinforcement learning to predict a data setting slate that is predicted to optimize an efficiency of a data center.

Abstract: Methods, systems, apparatus and computer program products for implementing machine learning within control systems are disclosed. An industrial facility setting slate can be received from a machine learning system and a determination can be made as to whether to adopt the settings in the industrial facility setting slate. The machine learning model can be a neural network, e.g., a deep neural network, that has been trained, e.g., using reinforcement learning to predict a data setting slate that is predicted to optimize an efficiency of a data center.

Abstract: Internet communications between a content management system that stores a plurality of content objects and a third-party system is established. A hierarchy at the third-party system is determined, and a file and folder content object hierarchy at the content management system is generated based on the determined hierarchy at the third-party system. Users of the content management system and users of the third-party system are reconciled by comparing attributes of users of the third-party system with attributes of users of the content management system. Permissions pertaining to user accessed to content objects at the content management system are reconciled with permissions of the third-party system. Reconciled access permissions are applied to content objects of the generated hierarchy at the content management system. Some of the access permissions that are applied to the content object hierarchy of the content management system are more restrictive than the permissions of the third-party system.

Abstract: Methods, systems, apparatus and computer program products for implementing machine learning within control systems are disclosed. An industrial facility setting slate can be received from a machine learning system and a determination can be made as to whether to adopt the settings in the industrial facility setting slate. The machine learning model can be a neural network, e.g., a deep neural network, that has been trained, e.g., using reinforcement learning to predict a data setting slate that is predicted to optimize an efficiency of a data center.