An AI response system configured to generate a response to an inquiry. The AI response system includes a learning unit and a response generation unit. The learning unit is machine-learned by an inquiry, general information, a response and a satisfaction level index for a response. The response generation unit is configured, based on a learning result of the learning unit, to generate, in response to inquiries from a plurality of mobile terminals, responses to be transmitted to each of the mobile terminals.

A document execution engine receives a training set of data including training documents that each include one or more passages associated with a passage type and a level of risk. The document execution engine trains a machine learned model based on the training set. The trained machine learned model, when applied to subsequently identified passages within documents in the document execution environment, can identify a passage with above threshold levels of risk (e.g., a high-risk passage) based on a passage type of the passage. The trained machine learned model can then provide for display the high-risk passage and a related passage of the same passage type from a second document within the document execution environment to the user via a document passage comparison interface. Differences between the passages can be highlighted, enabling a user to quickly compare and contrast the passages.

An agriculture support device includes a traveling creator to create a scheduled traveling route of an agricultural machine in an agricultural field, a display controller to display on an external terminal a virtual traveling status of the agricultural machine to travel on the scheduled traveling route created by the traveling creator, and a correction permitting controller to permit correction of the scheduled traveling route created by the traveling creator when the external terminal requests the correction. The display controller displays, on the external terminal, the virtual traveling status and a result traveling status of the agricultural machine that has traveled on the scheduled traveling route.

One example method includes formulating a hypothesis for development of computing model, annotating the hypothesis with ethics metadata, storing the hypothesis and the ethics metadata, in association with each other, in a ledger, performing ‘n’ phases of a development lifecycle for the computing model, annotating each of the ‘n’ phases with ethics metadata specific to the phase, updating the ledger to include the ‘n’ phases and the ethics metadata respectively associated with each of the ‘n’ phases, and calculating an ethics confidence score for the computing model.

One example method includes formulating a hypothesis for development of computing model, annotating the hypothesis with ethics metadata, storing the hypothesis and the ethics metadata, in association with each other, in a ledger, performing ‘n’ phases of a development lifecycle for the computing model, annotating each of the ‘n’ phases with ethics metadata specific to the phase, updating the ledger to include the ‘n’ phases and the ethics metadata respectively associated with each of the ‘n’ phases, and calculating an ethics confidence score for the computing model.

This disclosure provides systems, methods, and apparatuses, including computer programs encoded on computer storage media, for management of one or more organizational hierarchies. In one aspect of the disclosure, a method for managing member information associated with multiple organization hierarchies includes storing member information and a plurality of group models. Each group model of the plurality of group models includes multiple group data structures, multiple group type data structures, and multiple group member data structures. Each group model of the plurality of group models is associated with group hierarchy information that indicates a hierarchy associated with the multiple group data structures associated with the group model. The method further includes sending, to the user device and based on a received access request, first hierarchy information associated with a first group model of the plurality of group models. Other aspects and features are also claimed and described.

This disclosure provides systems, methods, and apparatuses, including computer programs encoded on computer storage media, for management of one or more organizational hierarchies. In one aspect of the disclosure, a method for managing member information associated with multiple organization hierarchies includes storing member information and a plurality of group models. Each group model of the plurality of group models includes multiple group data structures, multiple group type data structures, and multiple group member data structures. Each group model of the plurality of group models is associated with group hierarchy information that indicates a hierarchy associated with the multiple group data structures associated with the group model. The method further includes sending, to the user device and based on a received access request, first hierarchy information associated with a first group model of the plurality of group models. Other aspects and features are also claimed and described.

Methods, apparatus, systems, and articles of manufacture are disclosed to enable manual user interaction (MUI) with automated processes. An example apparatus includes blueprint service circuitry to monitor a status of the workflow, the workflow executed by an orchestrator. The example apparatus also includes MUI form service circuitry to, in response to the status indicating that the workflow requires an MUI to continue execution, cause a user interface to provide an approving entity with access to an MUI form associated with the MUI, and record one or more responses to the MUI form from the approving entity. Additionally, the example apparatus includes orchestrator gateway service circuitry to send the one or more responses to the orchestrator to enable the orchestrator to continue execution of the workflow.

Methods, apparatus, systems, and articles of manufacture are disclosed to enable manual user interaction (MUI) with automated processes. An example apparatus includes blueprint service circuitry to monitor a status of the workflow, the workflow executed by an orchestrator. The example apparatus also includes MUI form service circuitry to, in response to the status indicating that the workflow requires an MUI to continue execution, cause a user interface to provide an approving entity with access to an MUI form associated with the MUI, and record one or more responses to the MUI form from the approving entity. Additionally, the example apparatus includes orchestrator gateway service circuitry to send the one or more responses to the orchestrator to enable the orchestrator to continue execution of the workflow.

A system, method, and computer-readable medium are disclosed for performing a data center monitoring and management operation. The data center monitoring and management operation includes: enabling a customer to identify a customer metric, the customer metric representing an aspect of a data center infrastructure configuration of importance to the customer; analyzing the customer metric, the analyzing comprising at least one of prioritizing and weighting the customer metric; and, generating a recommendation for a data center infrastructure configuration based upon the analyzing.