Abstract: Provisioning resources into the cloud is a constantly increasing technical challenge as more cloud service providers emerge, each offering disparate computing platforms, services, assets, supported technical components, and other features. A cloud computing provisioning architecture implements a sequence of complex technical analyses that successfully provisions complex cloud computing services. The provisioning architecture disaggregates resources into individual provisioning actions, and also selectively re-aggregates the resources into template blocks which a service provider accepts for native provisioning.

Abstract: A device may communicate with a client device to provide, via a user interface of the client device, a set of prompts regarding an entity. The device may detect one or more user interactions with the user interface associated with indicating a set of responses to the set of prompts. The device may process data identifying the set of responses to the set of prompts to generate a set of scores for a set of recommendations based on processing the data identifying the set of responses to the set of prompts. The device may determine a ranking of the set of recommendations based on the set of scores. The device may select one or the set of recommendations based on the ranking. The device may communicate with the client device to provide information associated with the set of recommendations based on selecting the set of recommendations.

Abstract: A system and a method for selecting controllable parameters for equipment operation safety are provided. The system includes a memory, a display, a communication interface, and circuitry in communication with the memory, the communication interface and the display, the circuitry is configured to: identify a key safety monitoring index (KSMI) for the equipment operation safety, select a first subset of the controllable parameters according to a first regression, select a second subset of the controllable parameters from the first subset of the controllable parameters to predict the KSMI, predict the equipment operation safety for a future time, determine a safety range, and transmit the controllable parameters to be set for the equipment operation safety according to the determined safety range.

Abstract: Implementations directed to providing a computer-implemented method for automating vehicle feature updates, the method being executed by one or more processors and comprising receiving telematics data identifying an actual usage of a vehicle; performing a gap analysis between the actual usage of the vehicle and an expected usage of the vehicle; determining a feature update based on the gap analysis; providing the feature update to a product engineering module when the feature cannot be implemented by a software update; and providing the feature update to an onboard computer system when the feature can be implemented by a software update.

Abstract: A device receives, from a tag reader device of a plurality of tag readers, information associated with a scan of a tag, where each of the plurality of tag readers is configured to read a different type of tag. The device determines, based on the information associated with the scan, a tag reader type associated with the tag reader device, where the plurality of tag readers is associated with a corresponding plurality of tag reader types. The device includes a plurality of parsers associated with the plurality of tag reader types, and identifies a parser, included in the device, associated with the tag reader type associated with the tag reader device. The device determines, using the parser, a tag identifier based on the information associated with the scan. Based on determining that the tag identifier is valid, the device transmits the information associated with the scan to a server.

Abstract: A method for controlling access to one or more of a plurality of target systems includes receiving profile data that defines one or more features associated with a plurality of individuals with one or more entitlements of those individuals. Each entitlement is indicative of target system access. The method further includes generating a model that relates the one or more features and the one or more entitlements of the plurality of individuals. Profile data that defines one or more features associated with a target individual is received from a first user management system. A listing that includes one or more entitlements associated with the target individual, and confidence values associated with the one or more entitlements is generated based on the profile data and the model. Each confidence value is indicative of whether the target individual should be granted a corresponding entitlement.

Abstract: A device may obtain a document. The device may identify a skip value for the document. The skip value may relate to a quantity of words or a quantity of characters that are to be skipped in an n-gram. The device may determine one or more skip n-grams using the skip value for the document. A skip n-gram, of the one or more skip n-grams, may include a sequence of one or more words or one or more characters with a set of occurrences in the document. The sequence of one or more words or one or more characters may include a skip value quantity of words or characters within the sequence. The device may extract one or more terms from the document based on the one or more skip n-grams. The device may provide information identifying the one or more terms.

Abstract: A computer-implemented method for correlating alarms that are generated with relation to a computer network is disclosed. The alarms represent faults of the computer network and/or faults of components of the computer network.

Abstract: Implementations are directed to methods, systems, apparatus, and computer programs for generation of a three-dimensional (3D) animation by receiving a user input defining a two-dimensional (2D) representation of a plurality of elements, processing, by the one or more processors, the 2D representation to classify the plurality of elements in symbolic elements and action elements, generating, by the one or more processors, based on the symbolic elements, the action elements, and a set of rules a 3D animation corresponding to the 2D representation, and transmitting, by the one or more processors, the 3D animation to an extended reality device for display.

Abstract: A piping and instrumentation planning and maintenance system includes an input/output (I/O) interface for receiving a target piping and instrumentation diagram (PID) from a document source system; a processor in communication with the I/O interface; and non-transitory computer readable media in communication with the processor. The non-transitory computer readable media store instruction code, which when executed by the processor, causes the processor to classify entities and properties thereof within the target PID. The entities include one or more assets and interconnections therebetween specified in the PID. The processor compares the classified entities to a knowledge base that represents relationships between a plurality of assets and interconnections between the assets. The processor then determines, based on the comparison, whether the assets in the target PID are interconnected correctly.

Abstract: A knowledge data management system (KDMS) implements data refinement orchestration, resolution, and refinement to provide a reusable and generic solution to ingest and link data via relationships and properties when constructing a knowledge graph. The KDMS thus operates to break down existing data storage silos by normalizing and integrating data with a uniform semantic schema, which results in more accurate and faster knowledge graph construction.

Abstract: A system may facilitate distributed ledger technology (DLT) record based (for example, blockchain-based) voting. A voter may distribute vote-value to answers using committed tokens that bind the voter to a particular vote-value without divulging the particular vote value while in a cryptographic form. The voter may distribute committed tokens to multiple answers. In some cases, the distribution of the committed tokens to multiple answers may frustrate attempts to determine the one or more targets to which the voter delivers a non-null vote-value.

Abstract: Graph database analysis for network anomaly detection systems, in which a data analysis device receives multiple log data entries including parameters associated with a computer network event in a computing network. The data analysis device extracts one or more parameters in real-time and generates a network event graph based on at least one of a first graph metric or a second graph metric. The first and second graph metrics are based on the one or more extracted parameters. The data analysis device detects, based on queries performed on the network event graph, at least one of an anomalous event associated with the computing network or a malicious event associated with the computing network.

Abstract: A system for object recognition and segmentation from digital images provides an intelligent object recognition and segmentation using one or more multilayer convolutional neural network (CNN) models trained in multiple-stages and in a parallel and distributed manner to improve training speed and efficiency. The training dataset used in each of the multiple training stages for the CNN models are generated, expanded, self-validated from a preceding stage. The trained final CNN models are augmented with post-model filters to enhance prediction accuracy by removing false positive object recognition and segmentation. The system provides improved accuracy to predict object labels to append to unlabeled image blocks in digital images. In one embodiment, the system may be useful for enhancing a digital landmark registry by appending identifying labels on new infrastructure improvements recognized in aerial or satellite land images.

Abstract: A token apportionment stack may include multiple layers. A data structure layer of the token apportionment stack may access configuration memory to determine nodes and node attributes for a multiple-tier data structure. The data structure layer may send a message to a token assignment later of the token apportionment stack that indicates the determined nodes and attributes. Responsive to the message, the token assignment layer may assign tokens to a first node and recursively assign an apportionment of the assigned tokens to a second node. The token assignment layer may send a message with the assignments to the data structure layer. An interface interaction layer of the token apportionment stack may receive and handle query regarding token assignment by accessing token assignment data stored at the data structure layer.

Abstract: A device may obtain information included in a corpus of documents relating to an organization. The device may identify a set of values indicating personal information for one or more individuals by using a set of natural language processing (NLP) techniques to analyze the information included in the corpus. The device may determine a set of relationships between one or more values, of the set of values indicating the personal information using one or more additional NLP techniques and/or one or more rules. The device may generate a set of user profiles for the one or more individuals based on the set of relationships between the one or more values indicating the personal information. The device may perform one or more actions associated with using the set of user profiles to service a request for information.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for an automated enterprise content management (ECM) migrator. One of the methods includes generating, by an enterprise content management process migration engine (ePME), a migration profile for migrating data from a first ECM system to a second ECM system. Determining content to extract associated with a process template from the first ECM system. Identifying at least one process and at least one activity associated with the at least one process associated with the process template. Determining at least one classification associated with the at least one process activity in the process template. Generating a database in the second ECM system storing each of the at least one process, the at least one activity, and the associated at least one classification from the template. Validating a successful transaction between the first ECM system and the second ECM system.

Abstract: A data intelligence platform may include a role-based workbench component configured to control access to or use of the data intelligence platform to identify an issue associated with data associated with an organization. The data intelligence platform may include a data intelligence component configured to: process the data to identify the issue related to the data, or perform a set of actions related to fixing the issue related to the data based on a result of processing the data. The data intelligence platform may include a data management component configured to facilitate access to a corpus component or to a source of the data. The data intelligence platform may include the corpus component configured to facilitate processing of the data to identify the issue or to perform the set of actions.

Abstract: A multi-layer analytics service stack may generate forecasted utilization data. An input layer of the analytics service stack may receive input and designate cloud computing utilization data for analysis. A transformation layer of the analytics service stack may perform format transformations on the cloud computing utilization data, and the data may be prepared for analysis at a data treatment layer of the cloud computing utilization data. The treated and transformed cloud computing utilization data may be analyzed using multiple analytics models by a multi-forecasting layer of analytics service stack to generate the forecasted utilization data.

Abstract: Systems, apparatuses, and methods directed to authentication. Authentication data may be determined by previous authentications of a plurality of products. Sensor data, related to a first product, may be received. A current authentication of the first product may be executed based on the sensor data and at an authentication device. The execution may include identifying the first product based on the sensor data. The execution may further include identifying whether the current authentication is substantially similar the previous authentications based on whether the first product is substantially similar to the plurality of products. The execution may further include that when the current authentication is identified as not being substantially similar to the one or more of the previous authentications, authenticating the first product according to remote data and the sensor data. Otherwise, the first product may be authenticated according to the authentication data.