Abstract: A device may obtain incomplete geospatial coordinate data associated with a telecommunications network. The device may generate a network graph representation of the telecommunications network based on the incomplete geospatial coordinate data. The device may determine, for candidate sites, a candidate site score based on a quantity of candidate segments to connect the candidate site to a candidate hub. The device may determine, for candidate segments, a candidate segment score based on a quantity of candidate sites that connect to a candidate hub via the candidate segment. The device may determine a prioritization of the candidate segments based on the candidate site scores and the candidate segment scores. The device may generate a recommendation for selecting or ordering the candidate segments. The device may provide the recommendation for display via a user interface.

Abstract: A system for processing application programming interface (API) calls and event messages may include a gateway subsystem and an events hub. The gateway subsystem can route API calls submitted by user agents connected to the gateway subsystem to appropriate service subsystems. The events hub can receive event messages from at least some of the service subsystems and publish the received event messages for consumption by one or more consuming subsystems including the gateway subsystem. A first published event message may specify a first user and the gateway subsystem can (i) determine every user agent that is associated with the first user and that is currently connected to the gateway subsystem and (ii) transmit information that represents the first published event message to every user agent that is determined to be associated with the first user and currently connected to the gateway subsystem.

Abstract: An apparatus may receive data. The data may include first data and second data. The first data may be received from a set of sensor devices located within one or more dispensing devices. The second data may be received from one or more devices located external to the one or more dispensing devices. The apparatus may process the data to generate a model. The apparatus may receive sensor data. The apparatus may determine a response action associated with the particular dispensing device based on the sensor data and the model. The apparatus may provide information associated with causing the response action to be implemented.

Abstract: A platform may receive, from a user device, a request for a status of an animal, wherein the request includes animal identification information associated with the animal. The platform may identify, based on receiving the request, an animal record identifier associated with the animal. The platform may verify that an entity associated with the user device is authorized to obtain the status of the animal, wherein the entity is one of a plurality of entities that are authorized to obtain the status of the animal. The platform may identify, based on verifying that the entity is associated with the user device, blocks of a blockchain that include the animal record identifier. The platform may determine the status of the animal from animal records associated with the animal, wherein the animal records are included within the blocks. The platform may provide, to the user device, the status of the animal.

Abstract: A multi-layer storage class placement stack may generate a token containing storage class placement prescriptions for controlling the placement of stored items within a selection of classes for storage. An input layer of the storage class placement stack may generate time-collated activity data based on historical access data, volume metric data, and/or tagging data. The time-collated activity data may include data groupings using timestamps or other timing indicators. A transformation layer may further process the time-collated activity data to generate defined-period summation data that provides summary detail for defined durations across a period of analysis. The defined-period summation data may be used by a prescriptive engine layer to generate prescriptions for placement of individual stored items by associating the prescriptions with storage identifiers for the individual items.

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 includes one or more sets of rules where each set of rules is associated with an entitlement of the profile data. Each entitlement is indicative of target system/application access. Each rule within a set relates a combination of one or more features of the profile data with a confidence value. 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 rules.

Abstract: An identification and management system for log entries may filter historical data and generate closed log entries as a reference dataset. A dynamic learning engine may perform statistical modelling using the reference dataset to assign predetermined categories to each of a number of open log entries. An automation index may be generated for each of the open log entries. The automation index is indicative of accuracy of the assigned categories. Some of the open log entries may be identified as priority log entries which are representative of a group of the open log entries. The assigned category of the priority log entries may be analyzed for accuracy and the results of the analysis may be used to train the statistical model so that the open log entries may be iteratively assigned and re-assigned a category until the category of each open log entry reaches a desired accuracy.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using location data to identify and provide services in association with items appearing in captured images. One of the methods includes receiving, from a device, an image and location data representing the device's physical location, determining, based on the location data, that a particular set of one or more locations are within a threshold distance of the device's physical location, accessing, for each of the one or more locations in the particular set, item information that indicates one or more items that are associated with the location, determining, based on the accessed item information, that the image likely shows a particular item that is associated with one or more locations in the particular set, and providing, to the device, instructions for presentation of information about (i) the particular item and (ii) one or more locations in the particular set that are associated with the particular item.

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 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: A method for assessing and improving a presence and perception of an entity includes, for one or more presence categories of data sources, determining a number of data sources in a presence category on which the entity has a presence to thereby determine a presence score for the entity. The presence score increases as the number of data sources upon which the entity has a presence increases. For each of a plurality of comments posted on one or more social media sources, the method also includes determining a perception category and sentiment score associated with each comment that is related to the entity to thereby determine a perception score for the entity. A higher perception score indicates that, on average, users have a higher perception of the entity. The method also includes generating a recommendation for improving one or more of the presence score and perception score of the entity based on the determined presence score and the determined perception score.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for incident response are disclosed. In one aspect, a system includes a cognitive engine that is configured to receive data identifying actions performed in response to a computer security threat. Based on the data identifying the actions performed in response to the computer security threat, the system generates one or more workflows and a particular workflow that are associated with the computer security threat and that each identify one or more actions to remediate the computer security threat. The system also includes a scoring system and event triage engine that is configured to analyze the actions of the one or more workflows and of the particular workflow, and based on analyzing the actions of the one or more workflows and of the particular workflow, select a primary workflow as a workflow to respond to the computer security threat.

Abstract: A system and method for spoken language understanding using recurrent neural networks (“RNNs”) is disclosed. The system and method jointly performs the following three functions when processing the word sequence of a user utterance: (1) classify a user's speech act into a dialogue act category, (2) identify a user's intent, and (3) extract semantic constituents from the word sequence. The system and method includes using a bidirectional RNN to convert a word sequence into a hidden state representation. By providing two different orderings of the word sequence, the bidirectional nature of the RNN improves the accuracy of performing the above-mentioned three functions. The system and method includes performing the three functions jointly. The system and method uses attention, which improves the efficiency and accuracy of the spoken language understanding system by focusing on certain parts of a word sequence. The three functions can be jointly trained, which increases efficiency.

Abstract: Techniques are described for receiving data generated by multiple platforms of different types, and managing the data in multiple stages of a data lifecycle associated with a super-platform. An end-user (e.g., data discloser) may interact with multiple individual (e.g., siloed) platforms of different types. The individual platforms may generate data describing, and/or resulting from, these interactions with end-user(s). The data from the various individual platforms may be received, ingested, stored, analyzed, aggregated, and/or otherwise processed by a super-platform during various stages of a data lifecycle. In some implementations, the end-user, the super-platform, and/or the individual platform(s) may provide one or more restrictions on how the data may be handled in each of the stages of the data lifecycle.

Abstract: Systems and methods for managing mobile network loads are provided. A load manager may communicate with a plurality of mobile devices in wireless communication with a hardware infrastructure of a mobile network. The hardware infrastructure may provide wireless access to the mobile network. The load manager may receive an infrastructure performance indicator descriptive of operation of the hardware infrastructure in wireless communication with one of the plurality of mobile devices at one of multiple geographic locations wirelessly served by the hardware infrastructure. The load manager may generate, based on analysis of the infrastructure performance indicator, a reward record configured to associate a reward with a target geographic location wirelessly served by the hardware infrastructure. The load manager may instruct a mobile devices to display an indication of the reward record at a position on the display of the mobile device representative of the target geographic location.

Abstract: An image retrieval system may receive an image query that includes image data. The image retrieval system may determine an image descriptor based on the image data. The image retrieval system may obtain a text descriptor associated with the image descriptor in the descriptor repository. The image retrieval system may generate a document query comprising a search parameter, the search parameter including the text descriptor. The image retrieval system may identify, in a document database, text documents based on the document query. The text documents may be associated with document identifiers. The image retrieval system may obtain, from the file mapping repository, image identifiers associated with the document identifiers. The image query result from the image retrieval system may reference images associated with the image identifiers.

Abstract: The systems and methods to reduce bias in an artificial intelligence model are provided. The system may receive word embedding model generated based on a corpus of words. The system may determine a bias definition vector in an embedding space of the word embedding model. The system may receive bias classification criteria. The bias classification criteria may include logic to group word vectors in the word embedding model based on a distance measurement from the bias definition vector. The system may identify, in the word embedding model, a first group of vectors and a second group of vectors based on the bias classification criteria and the bias definition vector. The system may generate a debiased artificial intelligence model. The debiased artificial intelligence model may include associations between words and metrics. The system may weight the metrics for the words associated with the first group of vectors and second group of vectors with a non-zero penalization factor.

Abstract: The invention concerns a query response device comprising: an input adapted to receive user queries; a memory (106) adapted to store one or more routing rules; one or more live agent engines (116) configured to support interactions with one or more live agents; one or more virtual assistant engines (120) configured to support interactions with one or more virtual assistants instantiated by an artificial intelligence module (103); and a routing module (104) coupled to said live agent engines and to said virtual assistant engines, the routing module comprising a processing device configured: to select, based on content of at least a first user message from a first user relating to a first user query and on said one or more routing rules, a first of said live agent engines or a first of said virtual assistant engines; and to route one or more further user messages relating to the first user query to the selected engine.

Abstract: A device may predict, based on historical data relating to a plurality of past projects, a trigger to perform a project health check for a project. The device may process project data relating to the project to determine a health check status of the project based on predicting the trigger to perform the project health check for the project. The device may generate a recommendation relating to altering completion of the project based on the health check status of the project. The device may communicate with one or more devices to provide information identifying the recommendation. The device may receive, from the one or more devices, response information relating to the recommendation. The device may perform a response action relating to the recommendation based on receiving the response information.

Abstract: Systems and methods for predictively responding to real-time sensor data from an computer-augmented environment are provided. A system may receive sensor data from the computer-augmented environment. The system may obtain a feature model, a prediction model, and a filter criteria. The system may derive, based on the feature model and the sensor data, a first event. The system may determine the first event is associated with an authorized event identifier in the filter criteria. The system may forecast, based on the authorized event identifier and the prediction model that a second event occurs after the first event. The system may transmit an action message to the computer-augmented environment, the action message indicative of the second event. Updates to the feature model, the prediction model, and/or the filter criteria may occur in batch using machine learning and statistical analytics while the real-time platform predictively responds to the sensor data.