Abstract: A device may receive a query from a user device, and may process the query using a machine learning model to determine categories related to the query. The device may send a message, instructing a user to select a category, to the user device to cause the user device to display the message. The device may receive, from the user device, a selection related to the categories, and may call, based on the selection, a module to cause the module to process the query. The device may receive from the module a response to the query, and may send the response to the user device, to cause the user device to display the response. The device may send the query, the selection, and the response to one or more servers for storage, and may retrain the machine learning model based on information stored by the one or more servers.

Abstract: A sensor arrangement may include a light sensor, a lens, and a filter. The lens may include a distal end positioned toward an environment and a proximal end that is opposite the distal end and positioned toward the light sensor. The filter may be situated between the light sensor and the proximal end of the lens. The filter may be configured to permit a preconfigured set of wavelengths of light from the environment to be sensed by the light sensor.

Abstract: A system and method includes a blockchain operation stack which may control access to reading and writing operations for a blockchain. The blockchain operation stack may include a credential authority layer that may control permissions for profiles maintained by the credential authority layer. When the permissions are granted by the credential authority layer, a presentation layer may generate a display that may include information on the blockchain structure. Integrity outputs stored in a successor block may verify that a predecessor block has been rewritten and is valid. The presentation layer may provide tools to facilitate write layer operations to rewrite and append to the blockchain.

Abstract: A device may receive a request to migrate source data, associated with a source platform, to a target platform. The device may select a target template associated with the target platform based on the request; obtain target information based on the target template; and generate a target mapping based on the source data and the target information. The device may analyze the target mapping to identify an unmapped element in the target mapping and determine, using a migration analysis model, a candidate mapping, for the unmapped element, between a set of the source data and a target element of the target elements. The device may provide a notification that identifies the candidate mapping, to permit a user selection associated with verifying the candidate mapping. The device may receive the user selection and migrate the source data to the target platform according to the target mapping and the user selection.

Abstract: A device receives a technical document that includes content comprising: shapes that depict assets, lines that connect to the shapes and that depict connections to the assets, and text describing one or more of the assets and/or connections. The device converts data that describes the content, identifies a first group of spatial coordinates for the shapes, identifies a second group of spatial coordinates for the lines, and identifies a third group of spatial coordinates for the text. The device generates a data structure that associates shapes data for the shapes, lines data for the lines, and text data for the text, to permit another device to use the shapes data, the lines data, and the text data, to perform actions.

Abstract: A device may receive geospatial data identifying roads and buildings in a geographical region, and may transform the geospatial data into geospatial objects for the roads and the buildings. The device may correlate shelter data with the geospatial objects to generate correlated data that includes the geospatial objects and the shelter data. The device may process the correlated data to add bounding boxes around the geospatial objects corresponding to the shelters to generate modified correlated data. The device may correlate road weight and type data with the modified correlated data to generate final geospatial data, and may convert the final geospatial data into a directed graph. The device may receive event data identifying an event and inaccessible roads caused by the event, may update the directed graph based on the event data to generate an updated directed graph, and may provide a representation of the updated directed graph for display.

Abstract: A system and method for discreet routing of a vehicle are described. The system and method provide a way of getting a subject vehicle from Point A to Point B while minimizing the visibility of the subject vehicle by one or more observers. In one embodiment, the method includes (1) determining a location of one or more observers within a target area and (2) applying elevation data to a plurality of grid squares within the target area. Based on the elevation data, a field-of-view (FOV) for each of the one or more observers is determined. The FOV includes one or more of the plurality of grid squares that are visible from the location of the observer. The method includes determining a route from an initial location to a destination location within the target area that minimizes an amount of the route within the FOV of the one or more observers.

Abstract: Implementations for include providing one or more product designs using an intelligent design platform receiving a product indicator that indicates a product that is to be designed, transmitting a request to a contextual requirements system, the request including the product identifier and requesting one or more contextual requirements, determining a set of context models based on the product identifier, each context model in the set of context models being generated based on one or more scenes represented in a digital video, each scene depicting a contextual use of the product, providing a set of contextual requirements to the design generation system based on one or more context models, and inputting a set of aggregate requirements to a generative design tool that generates the one or more product designs based on the set of aggregate requirements, the set of aggregate requirements including at least one contextual requirement.

Abstract: A device may receive a document including text, images, and one or more embedded documents. The device may parse the document to identify a content segment in the document. The device may determine a context for the content segment, wherein the context includes at least one of an entity identified by the content segment, a semantic meaning of the content segment, or an object identified by the content segment. The device may classify the content segment using a content classification model and based on the context for the content segment. The device may selectively alter the content segment based at least in part on a set of alteration rules, to generate a modified document. The device may provide the modified document based on selectively altering the content segment.

Abstract: A device may receive information identifying a communication framework for a mass communication task. The device may determine a success score for the communication framework using a mass communication model, wherein the success score represents a likelihood of a successful response in connection with using the communication framework for the mass communication task. The device may generate a recommendation for the communication framework based on the success score and using the mass communication model. The device may alter the communication framework to implement the recommendation and generate a modified communication framework. The device may perform the mass communication task using the modified communication framework.

Abstract: A device may receive audio-video content regarding a system; segment the audio-video content to generate audio content and video content; process the audio content based on generating the audio content; process the video content based on generating the video content; identify a hierarchy for the set of sections based on processing the audio content and the video content; generate a system understanding document based on the hierarchy of the set of sections and based on the audio content and the video content; and store the system understanding document in a knowledge base.

Abstract: A device may receive requirement data identifying a requirement for modification of software code, and may process the requirement data, with a machine learning model, to identify entities and intents in the software code and to generate a query. The device may process the query, with a code locator model, to encode text of the query into high-dimensional vectors and to identify a semantic similarity between the high-dimensional vectors and code text. The device may process the query, the semantic similarity, and the code text, with a code developer model, to generate metadata, and may utilize the metadata to identify an identifier associated with the software code. The device may determine, utilizing the identifier, a portion of the software code, and may modify the portion of the software code based on the query to generate modified software code. The device may perform actions based on the modified software code.

Abstract: A multi-layer database sizing stack may generate prescriptive tier requisition tokens for controlling requisition of database-compute resources at database-compute tiers. The input layer of the database sizing stack may obtain historical data. The threading layer may be used to flag occurrences of single threading application execution. The change layer may be used to determine potential for a step based on compute utilization type data and assert flags indicating the potential. The step layer may determine if potential steps may be taken based on operation-rate type data and flush type data. The requisition layer may generate a tier requisition token based on the provisional requisition tokens generated at other layers and/or finalization directives obtained at the requisition layer.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving requirements data for a first enterprise resource planning (ERP) project and accessing a data repository that includes multiple templates. A subset of the templates include activity templates and each template is associated with at least one other ERP project. A system identifies activity templates based on the requirements data. Each identified activity template defines deliverables for performing the first ERP project. The system receives user input for validating an identified activity template by referencing the requirements data. The system selects an activity template in response to receiving the user input that validates the activity template. The system uses the selected activity template to generate a first deliverable for executing the first ERP project.

Abstract: A DevOps virtual assistant platform may analyze a DevOps workflow request received via a collaboration tool to identify one or more tasks, may activate and assign one or more worker bots to the one or more tasks, may verify, based on user credentials of a user associated with the DevOps workflow, that the user is authorized to access one or more backend DevOps tools, may access, via a DevOps orchestration engine, the one or more backend DevOps tools to automatically perform the task using the one or more backend DevOps tools, may determine that the one or more worker bots have completed the one or more tasks, and may provide, based on determining that the one or more worker bots have completed the one or more tasks, an indication via the collaboration tool that the DevOps workflow request has been processed.

Abstract: Implementations of the present disclosure include receiving, by the cloud migration platform, user input indicating a type of case for cloud migration planning, the type including one of an abstract case and a detailed case, in response to receiving the type of case, selectively initiating, by the cloud migration platform, a discovery process for generating discovery data representative of infrastructure assets and application assets of the enterprise network, processing the discovery data through a sub-set of engines of a set of engines of the cloud migration platform, the sub-set of engines providing output including cloud platform selection data, application disposition data, target architecture data, bill of materials (BOM) data, and application remediation data, and generating, by a cloud migration planning engine of the cloud migration platform and based on the output, a cloud migration plan including an application sequence plan for migrating applications to one or more cloud platforms.

Abstract: A device may receive input data identifying a technical architecture diagram, a design document, an interface specification document, and technical architecture icons, and may process the input data identifying the technical architecture diagram, with a model, to determine hierarchical objects from the technical architecture diagram. The device may perform OCR and NLP of the hierarchical objects to determine blocks of data, and may compare the blocks of data and the input data identifying the design document to identify functionalities of applications. The device may compare the blocks of data and the input data identifying the interface specification document to identify attributes, and may compare the blocks of data and the input data identifying the technical architecture icons to identify icons. The device may consolidate the blocks of data, the functionalities, the attributes, and the icons into a final document, and may perform actions based on the final document.

Abstract: A device receives first well data associated with first wells where plunger lift is installed, and receives second well data associated with a candidate well where plunger lift is not installed. The device processes the first well data to determine pre-plunger lift installation data associated with the first wells, and processes the first well data and the pre-plunger lift installation data to determine a set of performing wells and a set of underperforming wells, of the first wells. The device processes the second well data and data associated with the set of performing wells to determine a first metric associated with the candidate well, and processes the second well data and data associated with the set of underperforming wells to determine a second metric associated with the candidate well. The device determines whether to install plunger lift in the candidate well based on the first metric and the second metric.

Abstract: Automated computing machinery that agnostically augments a customer relationship management (“CRM”) application, including a leadership hub with computer memory configured according to a logical table, with logical columns identifying sales campaigns and a column identifying tele-agents, including also logical rows, each row representing an assignment of a tele-agent to work on a sales campaign; and a campaign management portal with computer memory configured according to a logical table, with logical columns identifying sales campaigns and a column identifying display templates, including also logical rows, each row associating a sales campaign and a display template comprising at least one sales campaign question and an answer form for the question; the leadership hub and the campaign management portal operative to display the template as an overlay of a web page of a CRM.