Abstract: A method for managing data includes obtaining, by a first data node, a notification, wherein the first data node is associated with a first power zone group (PZG), and in response to the notification: selecting a second data node, wherein the second data node is not associated with the first PZG, sending a data processing request to the second data node, obtaining a response based on the data processing request, wherein the response specifies a confirmation by the second data node to service the data processing request, storing a ledger entry in a ledger service that indicates the confirmation, and initiating a data transfer based on the data processing request, wherein the first data node is associated with the PZG based on a primary power source of the first data node.

Abstract: One example method includes data orchestration. Data sets are available to users in an online marketplace. Based on requests for data sets, other data sets may be recommended. The recommended data sets are moved or copied to recommended locations. This ensures that the data sets are available to the user more quickly if subsequently requested.

Abstract: A method for generating a sentiment score for a computer application user. An interface receives user input accessing a first observable goal as part of a user application. In response to receiving user input accessing the first observable goal, the system generates a first observable goal record for the first observable goal. In response to identifying an issue with the first observable goal, system tags the first observable with an issue notice tag for the issue and tracks one or more interactions that correspond to the first observable goal and the issue based on the issue notice tag. Each interaction is assigned a sentiment value score. The system generates a first sentiment score for the first observable goal by combining the sentiment value score for each of the interactions.

Abstract: One example method includes assessing an environment using a data confidence fabric. Data from sources associated with an environment such as a remote working environment is ingested into the data confidence fabric and associated with confidence scores. The environments can be assessed or monitored to ensure that the conditions of the environment comply with a standard.

Abstract: Data management is disclosed that detects changes in production or potential changes in production to trigger business decisions that inform business spend. Sensor input meant to monitor manufacturing and event correlation data can serve as input to trigger business decisions. The decisions can account for cost structures to ensure automated investments in the interest of the business or other organization. The data management links an early understanding of production data and business decisions to increase the link between manufacturing investment and business spend and to decrease waste including economic waste.

Abstract: One example method includes receiving a request from a user to access data stored in a filesystem, in response to the request, retrieving metadata of the data and metadata of the user, validating the metadata of the data and the metadata of the user against a data access rule, and granting the user access to the data upon successful validation of the metadata of the data and the metadata of the user.

Abstract: 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: selecting an organizational value from a plurality of organizational values, at least one of the plurality of organizational values representing a value associated with an information technology (IT) environment; analyzing organizational value goals associated with the IT environment, the analyzing comprising at least one of prioritizing and weighting the organizational value goals; generating a recommendation based upon the analyzing; and, presenting the recommendation via a project recommendation user interface.

Abstract: 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: selecting an organizational value from a plurality of organizational values, at least one of the plurality of organizational values representing a value associated with an information technology (IT) environment; analyzing organizational value goals associated with the IT environment, the analyzing taking into account the organizational value; and, presenting an organizational value weighting user interface, the organizational value weighting user interface providing a visualization of a relationship of selected organizational values from the plurality of organizational values.

Abstract: 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: selecting an organizational value from a plurality of organizational values, at least one of the plurality of organizational values representing a value associated with an information technology (IT) environment; analyzing organizational value goals associated with the IT environment, the analyzing taking into account the organizational value; generating suggested IT infrastructure changes based upon the analyzing; and, presenting a value tracing user interface, the value tracing user interface providing a visualization of the suggested IT infrastructure changes with respect to the organizational value.

Abstract: One example method includes monitoring a data access pattern, registering a data access request directed to data, comparing metadata associated with the data access request to a rule, based on a result of the comparing, sending a trigger to a graph service, and using information in the trigger to generate a visual representation of the data access request, wherein the visual representation indicates an extent to which the data access request is considered to constitute a potential threat to the data.

Abstract: One example method includes assessing remote working environments. Conditions and characteristics or remote working environments are incorporated into service level agreements as indicators and objectives. This allows an entity to ensure that remote working environments meet certain standards.

Abstract: 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: selecting an organizational value from a plurality of organizational values, at least one of the plurality of organizational values representing a value associated with an information technology (IT) environment; analyzing organizational value goals associated with the IT environment, the analyzing taking into account the organizational value, the analyzing generating a prioritization of organizational value goals; and, presenting an organizational value prioritization user interface, the organizational value prioritization user interface providing a visualization of a prioritization of organizational values and actions and recommendations based on the organizational values from the plurality of organizational values.

Abstract: 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: selecting a value representing a sustainability goal associated with an information technology (IT) environment; generating a recommendation based upon the value representing the sustainability goal associated with the IT environment; and, presenting the recommendation via a project recommendation user interface.

Abstract: One example method includes crawling data included in a dataset, based on the crawling of the data, creating and/or obtaining metadata concerning the data, crawling the metadata and obtaining information about a data change event involving the data, based on the crawling of the metadata, creating a meta label that documents occurrence of the data change event, and associating the meta label with the metadata. An analysis of the data, metadata, and meta label, may be performed and a trigger generated based on the analysis.

Abstract: One example method includes checking an asset against an Inclusion List and/or an Exclusion List to determine if the asset is permitted to contribute data, generated by the asset, to an enterprise data confidence fabric, when the asset is present on the Inclusion List, or not present on the Exclusion List, designating the asset as a trusted asset and appending the data generated by the asset to a ledger of the enterprise data confidence fabric, updating a ledger content index to reflect the data that was appended to the ledger, and annotating the data generated by the asset with trust metadata.

Abstract: A deployment manager for managing a deployment includes storage for storing an asset management request and an asset manager. The asset manager obtains the asset management request for an asset of the deployment; in response to obtaining the asset management request: places the asset into a management mode that enables at least one physical component of the asset to be physically managed; manages the asset based on the asset management request while in the management mode; and places the asset into an active mode that disables the at least one physical component of the asset to be physically managed.

Abstract: One example method includes extracting content metadata from data, storing the content metadata in a data catalogue, receiving at the data catalogue, from a user, a request to access the data, transmitting, by the data catalogue to a security service provider, an access request that includes the extracted content metadata and metadata relating to the access request, accessing, by the security service provider, identity metadata concerning an identity of the user, and a data access policy, and transmitting, by the security service provider to the data catalogue, a decision as to whether or not access can be granted to the data, and the decision is based on the data access policy, the identity metadata, and the metadata in the access request.

Abstract: One example method includes identifying dissimilar items in a data set. A data set may be walked one or more times and the nodes or vertices of the data set may be scored based on the number of times the nodes are touched during the walks. Scores below a threshold score are determined to be dissimilar nodes in the data set. This allows a diverse set of nodes to be identified. A dissimilar data set may be used to prevent unintentional bias in algorithmic training.

Abstract: An asset mapper for managing a deployment includes a storage and a map manager. The storage stores an asset map of the deployment. The map manager obtains a client oriented location request regarding the deployment for a client; in response to obtaining the client oriented location request: obtains location information of the client with respect to an asset of the deployment using a positioning sensor of the client; generates a client oriented asset map of the deployment using the location information and the asset map of the deployment; and performs an action set using the client oriented asset map to service the client oriented location request.

Abstract: One example method includes signal of risk access control. Access control is performed based on metadata that includes at least an intent of use, a requestor, and an end user. Access to combinations of data or data sets are based on context metadata that is evaluated at the time of the request instead of after the fact. The context metadata and other labels applied to the data or data sets can be used to orchestrate data access control operations.