Abstract: Systems, methods, and software to facilitate visualization of an application associated with an industrial automation environment are disclosed herein. In at least one implementation, a graphical user interface to the application having a plurality of key performance indicators (KPIs) is rendered. A selection of at least one KPI of the plurality of KPIs is received along with instructions to link the at least one KPI to a home screen of an operating system. Dynamic KPI data associated with the at least one KPI is fed to the operating system for visualization of the at least one KPI on the home screen.

Abstract: Systems and methods for reminding a user or a group of users about one or more items related to an upcoming event. The upcoming event is identified based on user data and a context for determining a list of items useful for the upcoming event is obtained. The list of items for the identified upcoming event is determined, using the context, and item reminder enhancement factors are determined in response to the upcoming event and the determined list of items. Content selection models are determined based on the context, the user data, and the item reminder enhancement factors. Conversational content for engaging the user or group of users is generated by applying the content selection models to a plurality of potential content. A conversation trigger signal is determined, and the conversational content is presented to the user via a computing device in response to receiving the conversation trigger signal.

Abstract: A system and method utilizing a mass user gaze fixation behavior with respect to products and product racks (using a camera-based inputs and gaze-tracking algorithms) and a financial profitability of each product/product type; generates gaze-based heat maps for indicating blind spots and eye gaze points at different positions of the racks/shelves and indicating product placement positions on the heat map; and advises product placement in the retail store for optimizing financial profitability by performing an iterative refinement of product placements over a period for the product/similar products. The system translates mass eye gaze of retail store customers into financial profitability via product placement optimization, and iteratively runs a method to optimize product placements, and generate gaze-based heat maps and perform blind spot analysis for avoiding product placements at certain locations and placing products at other locations, e.g., by running a decision module on consumer gaze pattern data.

Abstract: A forestry management device is provided including processing circuitry configured to receive an indication of a selected tree, receive selected tree location data associated with the selected tree, receive operator location data associated with an operator, and cause information associated with the selected tree to be displayed on a wearable computing device.

Abstract: A system and method are disclosed for real-time multi-facet interactive planning. The system includes a database that stores data associated with one or more entities. The system further includes a computer having a memory and a processor coupled with the database and configured to receive a facet value modification and modify the facet value based on a new facet value. The computer is further configured to propagate the new facet value to modify another facet value.

Abstract: A construction device scheduling device is provided including processing circuitry configured to receive device identifiers associated with a plurality of construction devices, receive a construction plan, and determine a construction device schedule based on the device identifiers of the plurality of construction devices and the construction plan.

Abstract: Example implementations described herein are directed to systems and methods for skill assessment, such as hand washing compliance in hospitals, or assembling products in factories. Example implementations involve body part tracking (e.g., hands), skeleton tracking and deep neural networks to detect and recognize sub-tasks and to assess the skill on each sub-task. Furthermore, the order of the sub-tasks is checked for correctness. Beyond monitoring individual users, example implementations can be used for analyzing and improving workflow designs with multiple sub-tasks.

Abstract: A display monitoring system exchanges information with display sensors and responds to multiple display stakeholders based on conclusions drawn from the information.

Abstract: Artificial intelligence is introduced into an electronic meeting context to perform various tasks before, during, and/or after electronic meetings. The artificial intelligence may analyze a wide variety of data such as data pertaining to other electronic meetings, data pertaining to organizations and users, and other general information pertaining to any topic. Capability is also provided to create, manage, and enforce meeting rules templates that specify requirements and constraints for various aspects of electronic meetings. Embodiments include improved approaches for translation and transcription using multiple translation/transcription services. Embodiments also include using sensors in conjunction with interactive whiteboard appliances to perform person detection, person identification, attendance tracking, and improved meeting start.

Abstract: A device may communicate with a server to obtain historical ticket data. The device may generate a data model, based on the historical ticket data. The device may communicate with a client device to obtain ticket data relating to an issue associated with a project. The device may classify, using the data model, the ticket data into a ticket type. The device may generate, using the data model and based on the ticket type, a set of recommended resolutions for resolving the issue associated with the project. The device may select, from the set of recommended resolutions, a particular resolution based on a set of selection criteria. The device may automatically perform one or more actions to implement the particular resolution to resolve the issue associated with the project.

Abstract: Disclosed are methods and apparatuses for generating simulations on the fly using large historical data and forecast data. To improve system performance, the large historical data are processed in parallel.

Abstract: Embodiments disclosed prove a method for improving power usage for an oilfield operation. The method includes analyzing power usage for the oilfield operation, mapping power consumption for the oilfield operation; mapping power utilization for the oilfield operation; and improving power utilization for the oilfield operation.

Abstract: Artificial intelligence is introduced into an electronic meeting context to perform various tasks before, during, and/or after electronic meetings. The artificial intelligence may analyze a wide variety of data such as data pertaining to other electronic meetings, data pertaining to organizations and users, and other general information pertaining to any topic. Capability is also provided to create, manage, and enforce meeting rules templates that specify requirements and constraints for various aspects of electronic meetings. Embodiments include improved approaches for translation and transcription using multiple translation/transcription services. Embodiments also include using sensors in conjunction with interactive whiteboard appliances to perform person detection, person identification, attendance tracking, and improved meeting start.

Abstract: A model management system receives data for an inventory of models including data regarding issues for each of the models. The model management system determines a model risk score for each of the models based on the issues for each of the models. As the issues are opened and closed, the model management system receives updates and in real-time, updates the model risk score. The model risk score can be determined using a severity assigned to each issue for each of the open issues for a given model as well as the number of issues at each severity. Risk scores can be calculated across a line of business and across an enterprise, for example. The model management system also provides one or more of: model development, model validation, model integration, model use, model maintenance, and model retirement.

Abstract: A data server receives multiple requests for data cubes that include data related to a user-specified subject matter. The requests are aggregated into an aggregated request, and an initial data cube is retrieved based on the aggregated request. Upon determining that the initial data cube fails to provide requisite data needed by the aggregated request due to data being missing from the initial data cube, the missing data is located and identified as augmentation data. The initial data cube and the augmentation data are sent to senders of the multiple requests for data cubes. Instructions are transmitted to install the initial data cube and the one or more of the sets of data into an electronic device that has been predetermined to be related to the user-specified subject-matter, the installation improves a functioning of the electronic device by modifying an operation of the electronic device.

Abstract: Artificial intelligence is introduced into an electronic meeting context to perform various tasks before, during, and/or after electronic meetings. The artificial intelligence may analyze a wide variety of data such as data pertaining to other electronic meetings, data pertaining to organizations and users, and other general information pertaining to any topic. Capability is also provided to create, manage, and enforce meeting rules templates that specify requirements and constraints for various aspects of electronic meetings. Embodiments include improved approaches for translation and transcription using multiple translation/transcription services. Embodiments also include using sensors in conjunction with interactive whiteboard appliances to perform person detection, person identification, attendance tracking, and improved meeting start.

Abstract: Plan of action and milestones (POA&M) automated generation engine (PAGE) systems are provided along with related methods. A number of distributed tamper protected configuration scanning systems configured to scan computer files in selected target systems across a network and generate target system configuration scan results files. The PAGE system also includes a number of POA&M configuration selection user interfaces and visualization systems enabling users to select, inform, and customize POA&M outputs based on POA&M configuration files that include POA&M library files that are associated with different types of plans or actions (e.g., cyber security configuration for networked computers). An expert system is also provided for receiving a plurality of configuration file inputs (e.g., configuration scan results file and various baseline files, e.g.

Abstract: Systems and methods are disclosed for determining segments of online users from a correlated dataset. One method includes receiving, over a network, a plurality of datasets including user-related data of a plurality of users, each dataset being transmitted from a data owner; correlating, by at least one processor, the plurality of datasets into a correlated dataset; receiving a segmentation request for determining a plurality of users that qualify for a segment, the segmentation request including a set of segment rules to apply to the correlated dataset; determining, by accessing the correlated dataset, whether each user of the plurality of users qualifies for the segment based on the segment rule; and storing an indication of the segment in the correlated dataset for each user determined to qualify for the segment.

Abstract: The disclosed embodiments generally relate to in-store customer traffic analysis systems and methods. The system includes at least one sensor positioned within a retail store, at least one display associated with the at least one sensor, one or more memory devices storing instructions and one or ore hardware processors configured to execute the instructions to perform operations. The operations include receiving a sensor signal indicating that a user device is within a proximity to the at least one sensor in the retail store, extracting a user device identifier from the sensor signal, correlating the sensor signal to the at least one display, generating a foot traffic record associated with the user device identifier and the at least one display, based on the received sensor signal, and storing the generated foot traffic record.

Abstract: Computer systems and methods that identify and assess risk in a supply chain network. The systems and methods create a visual model of a supply chain network, which includes: (i) logical stations graphically representing the physical sites in the supply chain network, and (ii) logical transits graphically representing the transportation of materials between the represented physical sites. For each given logical station, the systems and methods identify risk values for risk categories associated with the physical site. The systems and methods identify the risk values based on physical conditions related to: (a) the physical site represented by the given logical station, (b) each physical site represented by a logical station positioned in a downstream supply chain path to the given logical station, and (c) each transportation represented by a logical transit positioned in the downstream supply chain path.