A system, method and article of manufacture are provided for detecting message impressions from a document. The document includes one or more data collection areas adapted to receive input, and one or more message areas. Each message area includes a message. Memory representations of messages are stored in a memory. The document is received at a document processing engine which is adapted to access the memory to obtain the representations of messages. Message impressions are detected from the document by analyzing the document in the document processing engine. Message impressions are detected if it is determined that there is relevant input in the one or more data collection areas, and the document includes a representation of one or more of the messages.

A system performs a loss factor determination which refers to, for each of two or more different Ms from among 4 Ms (Man, Machine, Material, and Method), a time series data group representing a time series of a state of an element belonging to the M, and which determines, for each period between time points, whether or not a state combination in the same period between time points corresponds to one or a plurality of loss state combinations. In each period between time points, the state combination is a combination of two or more states belonging to the period between time points and corresponding to the two or more Ms. The loss state combination is a state combination defined as an opportunity loss. With each loss state combination, a loss factor, which is a factor of an opportunity loss corresponding to the loss state combination, is associated.

Disclosed are various examples for determining an IT topology for an enterprise IT organization based on operational goals of the enterprise organization. Visual models that are designed to facilitate responses associated with the current IT topology and operational goals of an enterprise IT organization are displayed to an entity of the enterprise. The entity can provide enterprise profile data to an IT solutions system by interacting with user interfaces. The IT solutions system can generate the IT topology prescription and roadmap for implementing the IT topology prescription based on the operational goals identified in the responses. Statements of work can be dynamically generated that outline details and terms of implementing the IT topology prescription for the enterprise IT organization.

A learning management system may be configured to retrieve roster data from a roster database and determine from the roster data whether a pilot has a scheduled downtime during a flight or a layover time before the flight. The system may further retrieve flight data associated with the flight from the learning management system and determine a training concept associated with the flight. The system may also select a training exercise from multiple training exercises, where the training exercise is associated with the training concept. A notification may be sent to an electronic device associated with the pilot, where the notification includes an offer to perform the training exercise.

A system and method are presented that improves search results based on skills associated with individuals. The system monitors an individual's contributions to a third-party forum and associates the contributions with skills. The system also monitors learnings received by the individual. Assignments are made to associate the individual with the skills and to assign points. Users request a search based on search skill parameters, and the system uses forum-based data and non-forum data to identify and sort individuals. Skill and point assignments are made temporarily, and assignments are deleted upon the expiration of a time-to-live clock. Save events can permanently save data. Local forum data is also stored and can be used to restore deleted assignments. Points are used to improve avatars used when interacting with searching users.

A method includes receiving target data for a paving project corresponding to a work period. The method also includes receiving sensor data from one or more components associated with the paving project, determining a progress value representing progress of the one or more components of the paving project, and determining a threshold progress value for a time period, the time period having a duration that is less than a duration of a work period. The method further includes determining that the progress value is less than the threshold progress value, generating at least one of an alarm or a recommendation, and sending the alarm or the recommendation to an electronic device.

An aspect of the present disclosure facilitates measuring the capability of AIOps (Artificial Intelligence for IT operations) systems deployed in computing environments. In one embodiment, a first simulation of a target AIOps system is run using a first historical input set having a corresponding first actual output set of a first AIOps system different from the target AIOps system. A second simulation of a reference AIOps system is run using a second historical input set having a corresponding second actual output set of the same first AIOps system. A first and second accuracy scores are determined based on outputs of the first and second simulations and the corresponding first and second actual output sets. An enablement score representing a measure of the capability (in terms of accuracy of prediction) of the target AIOps system is generated based on the first accuracy score and the second accuracy score.

Systems and methods for data collection for an industrial heating process are disclosed. The system according to one embodiment can include a plurality of data collectors, including a swarm of self-organized data collector members, wherein the swarm of self-organized data collector members organize to enhance data collection based on at least one of capabilities and conditions of the data collector members of the swarm, and wherein the plurality of data collectors is coupled to a plurality of input channels for acquiring collected data relating to the industrial heating process, and a data acquisition and analysis circuit for receiving the collected data via the plurality of input channels and structured to analyze the received collected data using a neural network to monitor a plurality of conditions relating to the industrial heating process.

An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.

An automated yard audit system is provided. The automated yard audit system includes one or more light detection and ranging (LIDAR) sensors, which are each configured to scan at least a portion of a fulfillment yard, and a controller. The controller is configured to receive scanning data of the yard from each of the LIDAR sensors and generate a virtual representation of the fulfillment yard based on the scanning data. The controller is also configured to identify one or more objects in the fulfillment yard, track movement of the one or more objects in the fulfillment yard, perform an audit of the fulfillment yard, and determine capacity information of the fulfillment yard, based on the virtual representation.