Abstract: Methods and systems for identifying areas of interest in an image and management of images are disclosed. To manage identification of areas of interest in an image, subject matter expert driven processes may be used to identify the areas of interest. The identified areas of interest may be used to establish plans to guide subsequent use of the image. The identified areas of interest may also be used to establish plans to cache portions of the image to speed subsequent use of the image.

Abstract: The technologies described herein are generally directed toward deploying networked equipment based on a selected deployment model. According to an embodiment, a system can comprise a processor and a memory that can enable performance of operations including receiving a deployment request from a request source, for a deployment task comprising networked equipment to be deployed and a location for deployment of the networked equipment. The operations can further include querying a data source for deployment information implicating the location and the deployment task. Based on the request source, the deployment task, and the deployment information, the operations include selecting a deployment model to facilitate processing the deployment request. The operations additionally include, based on the deployment task and the deployment model, deploying the networked equipment at the location.

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: 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: One example method includes injecting processing into sessions including IO sessions. Events in a file system are intercepted and processed. During processing, policies may be applied to the events. Some of the policies are triggered such that external actions or processing is applied to the event. Once the actions have been performed, the event may be processed by the file system.

Abstract: One example method is performed in connection with a data confidence fabric. This method includes generating information about data as the data transits a data confidence fabric, ingesting the information, mapping the ingested information to a timeline, evaluating the timeline, based on the evaluating, generating a recommendation for an action concerning the data, and implementing the action in the data confidence fabric. In this method, the evaluating includes determining if any unexpected time gaps occurred as the data transited the data confidence fabric.

Abstract: A PCIe resource management system includes a PCIe resource registration subsystem and a PCIe resource monitoring subsystem. Assets register to use PCIe resources of other assets and to allow other assets to use their PCIe resources. Assets specify which types of PCIe resources it can borrow, when it can borrow those PCIe resources, and a logical group of other assets from which the asset can borrow the PCIe resources. Assets also specify which types of PCIe resources it will lend, when it will lend those PCIe resources, and a logical group of other assets to which the asset will lend the PCIe resources. The PCIe resource registration subsystem maintains a PCIe resource registration datastore maintaining PCIe borrow and lending rules associated with assets in logical groups of assets. PCIe resources are shared between assets in the logical groups as needed, as determined by the PCIe resource monitoring subsystem.

Abstract: A system can associate interests and responsibilities that correspond to a user account with a tag, based on search data originated by the user account. The system can determine content to send to the user account based on the tag. The system can determine that an offering is first offered after sending the content to the user account. The system can determine that the user account has purchased the offering. The system can determine that a portion of a commission associated with the user account purchasing the offering is credited to sending the content to the user account based on the tag. The system can store an indication that the portion of the commission associated with the user account purchasing the offering is credited to sending the content to the user account based on the tag.

Abstract: One example method includes discovering computing workloads that are available to migrate from a current platform to a target platform, and the workloads are controlled by a user, determining that the computing workloads are migratable from the current platform to the target platform, ordering the computing workloads according to a respective measurable aspect, such as SLA (Service Level Agreement) for example, of each of the computing workloads, and generating a recommendation to the user that one of the computing workloads be migrated to the target platform, and the recommendation is generated based on a microstep score that has been assigned to the user.

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: Methods and systems for storing and managing biosystem on a chip data disclosed. To store the data, operation data from the biosystem on a chip may be stored in a database. To manage use of the stored data, a graph representation of the biosystem on a chip. The nodes of the graph representation may correspond to the architectural features of the biosystem on a chip. The edges between the nodes may be based on whether the corresponding architectural features are in communication with one another. Each of the nodes may be associated with pointers that point to portions of the operation data in the database that is relevant to the architecture feature associated with the respective node.

Abstract: A system can associate interests and responsibilities that correspond to a user account with a tag, based on search data originated by the user account. The system can determine content to send to the user account based on the tag. The system can determine that an offering is first offered after sending the content to the user account. The system can determine that the user account has purchased the offering. The system can determine that a portion of a commission associated with the user account purchasing the offering is credited to sending the content to the user account based on the tag. The system can store an indication that the portion of the commission associated with the user account purchasing the offering is credited to sending the content to the user account based on the tag.

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: Methods and systems for identifying areas of interest in an image and management of images are disclosed. To manage identification of areas of interest in an image, subject matter expert driven processes may be used to identify the areas of interest. The identified areas of interest may be used to maintain a database usable to guide subsequent use of the images. The database may associate image segments of the images with various landmarks and/or area of interest. The associations may be used to limit the quantity of image segments read from storage during subsequent use of the images.

Abstract: Features described herein generally relate to systems and methods for generating and managing tokens for authenticated assets. In some aspects, generating a token is performed according to one or more rules and includes generating metadata that links the token to a representation of an asset. In some other aspects, tracking token access includes monitoring a blockchain for token access events and generating a token based on a modified historian and received feedback. In other aspects, validating a token for an authenticated asset includes matching representations of the authenticated asset.

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: monitoring an interaction of a user with a data center monitoring and management console when configurating an aspect of data center infrastructure, the configuring being performed via a plurality of application program interfaces; analyzing the plurality of application program interfaces used when configuring the aspect of data center infrastructure; and, generating an application program interface complexity score for each of the plurality of application program interfaces based upon the analyzing.

Abstract: A system, method, and computer-readable medium for performing a data center monitoring and management operation. The data center monitoring and management operation includes: monitoring an interaction of a user with a data center monitoring and management console throughout a plurality of developer journey steps, the interaction of the user including interaction with a plurality of application program interfaces; analyzing the interaction with the plurality of application program interfaces associated with each of the plurality of developer journey steps; and, generating an application program interface readiness score for each of the plurality of application program interfaces based upon the analyzing.

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: Methods and systems for identifying areas of interest in an image and management of images are disclosed. To manage identification of areas of interest in an image, subject matter expert driven processes may be used to identify the areas of interest. The identified areas of interest may be used to maintain a database usable to guide subsequent use of the images. The database may associate image segments of the images with various landmarks and/or area of interest. The associations may be used to limit the quantity of image segments read from storage during subsequent use of the images.

Abstract: Methods and systems for operating biosystem on a chip are disclosed. To operate biosystem on a chip based systems, likely faults in the operation of the system may be predicted. Algorithms usable to mitigate the predicted likely faults may be identified, and ranked based on a level of impact that access to data reelecting the operation of the system may have on the utility of the algorithms. Higher ranked algorithms may be deployed for execution during operation of the system to lower latency locations while lower ranked algorithms may be deployed for execution to higher latency locations. The lower latency locations may include computing resources that are local to the biosystem on a chip, but that may be limited in quantity.