Abstract: One example method includes receiving from a user, by a trust algorithm, primary input that comprises a user query that specifies search parameters, a list of one or more trust factors, or is automatically assigned a list of trust factors based on organizational requirements, and a respective user-specified weighting for each trust factor definition, receiving secondary system inputs and, based on the search parameters, retrieving data from the secondary system inputs, running, on the data retrieved from the secondary system inputs, one or more trust factor functions, each of which generates a respective trust factor, generating a trust score by running a trust score function on the trust factors, aggregating the data with the trust score to create a result set, and storing the result set.

Abstract: One example method includes receiving a transaction at a digital twin that incorporates all transactions that have occurred at a site from which the transaction was received, and wherein the digital twin was created based in part on a data confidence fabric ledger, entering the transaction in the data confidence fabric ledger at the digital twin, receiving another transaction at the digital twin, wherein the another transaction has caused a problem to occur, entering the another transaction in the data confidence fabric ledger, replaying any transactions that have occurred in a defined time window that includes the another transaction, based on the replaying, identifying a state of a system where the problem occurred, and a time when the problem occurred, and determining a resolution to the problem.

Abstract: A system for managing a deployment includes storage for storing an enhanced asset map of the deployment. The system further includes a deployment manager that obtains a deployment interface request for the deployment; in response to obtaining the deployment interface request: displays a visualization including at least one interactive element, the visualization is based on the deployment interface request and the enhanced asset map; obtains input associated with the at least one interactive element using a natural motion interface; and performs an action set, based on the input, to update an operation of the deployment.

Abstract: An information handling system for servicing search requests for information stored in data assets includes storage for storing a graph database based on at least one data catalog for the data assets. The information handling system also includes a processor that obtains, from a requestor, a search request of the search requests, the search request specifies a keyword search term; obtains a first identifier of a data asset of the data assets using the graph database and the keyword search term; and provides the first identifier as a supplemental result for the search request.

Abstract: One example method includes receiving a query that recites a particular question for which a user who originated the query needs an answer, parsing the query to identify the question, identifying information that is responsive to the question, presenting the information to the user in a user-selectable form, and receiving, from the user, a selection of the information. In some cases, the information presented to the user may include one or more datasets, or one or more pipelines.

Abstract: One example method includes receiving a query that recites a particular question for which a user who originated the query needs an answer, parsing the query to identify the question, identifying information that is responsive to the question, presenting the information to the user in a user-selectable form, and receiving, from the user, a selection of the information. In some cases, the information presented to the user may include one or more datasets, or one or more pipelines.

Abstract: One example method includes generating a map of an environment. Microlocation sensors deployed to the environment read tags associated with assets in the environment. The positions of the tags are determined by the sensors and secondary information is accessed based on the identifiers read from the tags. A three-dimensional map of the environment is generated based on the positional data of the tags and the secondary information.

Abstract: A data transfer request is received from an application program hosted at a first location in a computing environment for transferring a given data set to a second location in the computing environment. The data transfer request comprises information identifying one or more data types of the given data set and one or more preferences associated with the transfer of the given data set. The second location is notified of the data transfer request. The method causes deployment of one or more data-aware services to optimize the given data set prior to transfer to the second location, wherein optimizing the given data set is performed based on the one or more data types of the given data set and the one or more preferences associated with the transfer of the given data set. For example, the data-aware services at the first location may comprise data deduplication and/or data compression.

Abstract: One example method includes receiving a user request for a data set, and the user request includes information concerning user requirements for the data set, identifying data records that satisfy one or more of the user requirements, calculating a respective relative value for each of the data records, and the relative values are based in part on the user requirements, and providing access controls for each data record that enable tracing of accesses of the data record.

Abstract: One example method includes an optimized approach to real-time utilization, data transfer, data storage, and transience in a T Hz-enabled zone that may be implemented in edge networks, data management, and machine learning. Multiple policies can be enforced based on new sets of attributes such as data type, location, and device movement within a zone or between zones.

Abstract: In a computing environment comprising a plurality of equipment racks wherein each equipment rack comprises one or more of compute, storage and network assets, a method identifies a workflow attributed to at least a portion of the assets in at least one equipment rack of the computing environment, generates one or more overlays that visualize a projected impact to one or more components of the identified workflow, obtains a three-dimensional representation of the at least one equipment rack, and superimposes the one or more overlays on the three-dimensional representation of the at least one equipment rack.

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 method for managing computing resources includes obtaining, by a resource use manager, a physical asset request from a client, in response to the physical asset request: initiating allocation of a landing area device to the client based on the physical asset request, determining a physical asset to be provided to the client, sending, to a manufacturer, a physical asset preparation request, obtaining a confirmation of deployment of the physical asset from the client, performing a restoration on the physical asset using a most recent landing area incremental backup, and after the initiating the restoration, initiating a transfer of operation from the landing area device to the physical asset.

Abstract: In an edge data management methodology, first information is obtained pertaining to a given data set associated with a computing environment, wherein the computing environment comprises one or more edge computing networks and one or more centralized computing networks. Second information is obtained that is descriptive of processing functionalities available at the one or more edge computing networks. Third information is obtained that is descriptive of processing functionalities available at the one or more centralized computing networks. A processing location decision is generated for at least a portion of the given data set based on the obtained first, second and third information. Time cost information may also be obtained that is associated with processing of at least a portion of the given data set, and used to generate the processing location decision.

Abstract: In a computing environment comprising a plurality of equipment racks wherein each equipment rack comprises one or more of compute, storage and network assets, the method captures an image of at least one equipment rack in the computing environment. The method identifies a known object in the image to determine physical characteristics of the equipment rack. The method receives, from a peer-to-peer network, positioning beacon signals respectively associated with at least a portion of the compute, storage and network assets in and around the equipment rack. The method determines a closest asset among the portion of the compute, storage and network assets for which positioning beacon signals are received. The method obtains data indicative of physical characteristics associated with the closest asset, obtains a model of the computing environment based on the obtained data, and then obtains a three-dimensional map of the computing environment based on the model.

Abstract: A method and system for engramic indexing of information technology (IT) infrastructure. Specifically, the method and system disclosed herein enable the efficient access, search, and/or management of enterprise-scale IT infrastructure and topologies using semantic context and natural language processing. That is, query context may be optimized using mapped semantics based on organizational constructs and machine learning, thereby reducing query overhead, increasing response performance, and improving contextual display capabilities in mass-scale environments.

Abstract: A method for managing data includes obtaining, by a data migration manager, a notification of an event occurrence from an external event source, wherein the event occurrence is predicted to take place in a geographical location, performing a threat assessment on the event occurrence to generate an impact prediction for a local data system located in the geographical location, making a first determination that the impact prediction exceeds an impact threshold for a first application executing in the local data system, performing, in response to the first determination, a location assessment to identify a migration destination for first application data stored in the local data system, and initiating a first data migration of the first application data to the migration destination.

Abstract: An asset mapper for managing a deployment includes storage for storing a client oriented asset map of the deployment and a map manager. 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 the client oriented asset map of the deployment; modifies the client oriented asset map using a data source that describes at least a characteristic of a portion of the deployment to obtain an enhanced client oriented asset map; and performs an action set using the enhanced client oriented asset map to service the client oriented location request.

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: A system for managing a deployment includes storage for storing an enhanced asset map of the deployment. The system further includes a deployment manager that obtains a deployment interface request for the deployment; in response to obtaining the deployment interface request: displays a visualization including at least one interactive element, the visualization is based on the deployment interface request and the enhanced asset map; obtains input associated with the at least one interactive element using a natural motion interface; and performs an action set, based on the input, to update an operation of the deployment.