Abstract: A device may receive a plurality of data objects from a plurality of sources; identify text data, image data, and location data of the plurality of data objects; identify relevant data objects, of the plurality of data objects, based on the text data, and/or based on the image data, based on the location data, and/or based on comparing the text data, the image data, and the location data to a predefined element that identifies values relevant to a particular group or subject area; assign scores to the relevant data objects based on the text data, the image data, and the location data; aggregate the scores, as one or more aggregated scores, with regard to one or more users associated with the relevant data objects; and/or perform one or more actions based on the one or more aggregated scores associated with the one or more users.

Abstract: A method for decommissioning an application operating on a computer system or a computer system includes receiving, at a decommissioning system, information that specifies a server to analyze. The decommissioning system determines one or more applications operating on the server, one or more instruction code libraries that are being utilized by the one or more applications, and hardware dependencies of the one or more instruction code libraries. Based on the determined hardware dependencies, the decommissioning system determines whether the application is suitable for migration to a cloud computing system. The decommissioning system generates a report indicating a suitability for migration of the application to the cloud computer system.

Abstract: The global proliferation of high speed communication networks has created unprecedented opportunities for geographically distributed resource interaction. A crowd sourced project management synthesizer provides crowd sourced project management features, as well as resource performance tracking features, to provide efficiencies to the project's implementation.

Abstract: An asset tracking system helps an enterprise correctly and efficiently determine when assets are created and when they are re-used. Re-use of assets often creates a positive impact, e.g., on other projects ongoing within the enterprise. The system detects the asset re-use, determines the asset impact, and automatically updates a dynamic profile of the asset creator to register the value of their work. In some implementations, the system implements a virtual currency system that also rewards the supervisors of the asset creator, and allows the virtual currency to be exchanged for project resources needed by the supervisors.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for providing real-time guidance for content collection. One of the methods includes receiving user input from a user through a user interface presentation, determining, from the received user input using a first model, one or more provided data elements occurring in the user input, determining, from the one or more provided data elements occurring in the user input using a second model, one or more intended tasks, determining, for each intended task of the one or more intended tasks using a third model, one or more suggested data elements, ranking the one or more suggested data elements, and updating the user interface presentation with a user interface element suggesting that the user provide the one or more needed data elements.

Abstract: Systems and methods for cryptologic blockchain interoperability are provided. A furnisher participant of a furnisher DLT network may receive a request to export or share token data stored on a furnisher blockchain that stores the token data based on a furnisher DLT. The furnisher participant may transmit, to a plurality of validator participants of the furnisher DLT network, a consensus request to certify the token data is stored on a furnisher blockchain. The furnisher participant may receive certifications that the token data is stored on the furnisher blockchain. The certifications may include digital signatures respectively signed by the validator participants. The furnisher participant may generate a multi-signature certification message. The furnisher participant may communicate the multi-signature certification message to the data receiver. The data receiver may verify the digital signatures based on public keys of the validator participants of the furnisher DLT network.

Abstract: A data furnisher may append, to a furnisher blockchain, an interoperability smart contract comprising a cryptologic committal. The cryptologic committal may include logic configured to cause a data receiver to commit token data to the receiver blockchain based on a pre-commit authorization. The data furnisher may encrypt, based on a committal key, a pre-commit authorization to transfer token data stored on the furnisher blockchain to the receiver blockchain. The data furnisher may transmit the pre-commit authorization to the data receiver. After transmission of the pre-commit authorization, the data furnisher may receive a pre-commit acknowledgement of the pre-commit authorization. The data furnisher may lock the token data on the furnisher blockchain in response to verification that the token data is appended to the data receiver blockchain. The data furnisher may send the predetermined committal key to the data receiver to commit the token data to the data receiver blockchain.

Abstract: A device may store images of people and profile information associated with the images of the people, and may generate configuration information associated with providing customized profile information to a user device. The device may receive an image, of a person, captured by the user device, and may perform facial recognition of the image of the person to generate facial features of the person. The device may compare the facial features of the person and the images of the people, and may identify a stored image of the person, from the images of the people, based on comparing the facial features of the person and the images of the people. The device may determine, from the profile information and based on the configuration information, particular profile information that corresponds to the stored image of the person, and may provide the particular profile information to the user device.

Abstract: A device may receive a text, from a text source, in association with a request to generate an ontology for the text. The device may generate a set of word vectors from a list of terms determined from the text. The device may determine a quantity of term clusters to be generated to form the ontology based on the set of word vectors. The device may generate term clusters based on the quantity of term clusters, attributes, and/or non-hierarchical relationships. The term clusters may be associated with concepts of the ontology. The device may provide the term clusters for display via a user interface associated with a device.

Abstract: A claims preprocessor processes claim data to identify claims that are to be adjudicated. Each claim includes at least one claim exception. The claims preprocessor further prioritizes the claim exception of each identified claim based on the claim data. A robotic process automator then orchestrates adjudication of the identified claims based on claim data. Further, a rules engine adjudicates the identified claims based on pre-defined rules. Subsequently, a fall out handler determines if any of the identified claims are incorrectly adjudicated and identify an issue associated with incorrect claims adjudication on determining that any of the identified claims are incorrectly adjudicated. A self learner then provides feedback to rules engine based on a decision tree and information received from fall out handler, the feedback being usable to resolve the issue. The information received from fall out handler is indicative of issue associated with incorrect claims adjudication.

Abstract: A system includes circuitry for rewriting blockchains in a validity-preserving operation. In some cases, using a key secret held by a trusted party. In some cases, the blockchains may include a series of blocks secured integrity codes that may prevent non-tamper-evident rewrites by non-trusted parties that are not in possession of the key secret. In some cases, the key may allow valid but tamper-evident rewrites of the blockchain by trusted entities. In some cases, integrity outputs may be generated from the integrity codes based on the content of the previous blocks in the series such that attempts by untrusted parties to replace a block may be detected through coding-inconsistencies with other blocks.

Abstract: An optimized test data selection strategy references a sampling file that identifies data attributes that serve as the basis of the test data selection strategy. By analyzing fields and the corresponding field values of the sample imprint, a total number of test data selected for inclusion into a sample dataset is reduced. The test data selection strategy provides an efficient methodology for implementing a data comparison testing process.

Abstract: Hardware acceleration supports complex software processes. In particular, a hardware security module provides encryption support for transaction chains. In one implementation, the security module circuitry provides high-speed security features and acceleration of the security features for blockchain processing.

Abstract: In some examples, learning based incident or defect resolution, and test generation may include ascertaining historical log data that includes incident or defect log data associated with operation of a process, and generating, based on the historical log data, step action graphs. Based on grouping of the step action graphs with respect to different incident and defect tickets, an incident and defect action graph may be generated to further generate a machine learning model. Based on an analysis of the machine learning model with respect to a new incident or defect, an output that includes a sequence of actions may be generated to reproduce, for the new incident, steps that result in the new incident, reproduce, for the new defect, an error that results in the new defect, identify a root cause of the new incident or defect, and/or resolve the new incident or defect.

Abstract: A system selects a set of advertisement media associated with a product. A set of persistent advertisement media from the set of advertisement media is identified based on one or more tests. A Gaussian Bayesian (GB) network based on the set of advertisement media. A net persistence rate for each of the set of persistent advertisement media is determined based on the GB network. a competitor factor associated with another vendor of the product is computed based on one or more marketing parameters associated with the another vendor. A predicted sales (PS) value associated with each of the set of persistent advertisement media is determined. A persistent advertisement medium is selected in real time based on corresponding PS value. An advertisement is rendered on the selected persistent advertisement medium in real time for marketing the product.

Abstract: A navigation system for a multi-dimensional parameter space helps facilitate reaching a desired destination along a predefined path. The system provides technical solutions to reaching the destination along even complex paths, including analyzing a large search space for waypoints that fall along the predefined path. For instance, the waypoints along the path may be numerous, may create path branches, or may be characterized by many different dimensional parameters.

Abstract: An Artificial Intelligence (AI) based document processing system receives a request including one or more documents related to a process to be automatically executed. The information including the fields and an intent required for the process are extracted from one or more of the request and the documents. The required documents and fields are selected based on the intent and a domain model. The required fields are validated using external knowledge and the discrepancies identified therein are resolved. An internal master document is built based on the required fields. The internal master document is employed for the automatic execution of the process.

Abstract: Scalable architectures provide resiliency and redundancy and are suitable for cloud deployment. The architectures support extreme data throughput requirements. In one implementation, the architectures provide a serving layer and an extremely high speed processing lane. With these and other features, the architectures support complex analytics, visualization, rule engines, and centralized pipeline configuration.

Abstract: A clustering system selects a parameter set from a plurality of parameter sets associated with a dataset to generate a hyper-optimized cluster of the dataset. Different parameter sets are generated by varying the parameter values based on the Genetic Algorithm or a particle swarming algorithm. A parameter set having a high Fitness score is selected from the different parameter sets and a clustered solution produced using the selected parameter set having a maximum total score is used to produce actionable items.

Abstract: A system for rendering media having content displayed comprises a receiving unit to receive media, a scanner to detect an object in the media for placing a placeholder, a checker to provide the placeholder to a user for feedback and receive the feedback. The system also includes a template generator to generate a template indicating the placeholder in the media. The system also includes a rendering unit in communication with the template generator to render, upon receiving a request for watching the media, the media having content to display to the user, based on at least one of a storage space and a processing capacity.