Abstract: Disclosed are systems and methods for facilitating identification of risk across risk silos in an organization. Machine learning utilizes risk identification data from two or more silos to identify risk associated with electronic change requests provided to the system. Regulatory/compliance results are submitted to a blockchain for immutable recordation of compliance status.

Abstract: A system and method that monitors conditions at a location and monitors and detects events in images to determine if there is a recognized event and if so, the recognized event is assigned a concern level and a workflow is transmitted to one or more qualified individuals based on the recognized event and the concern level of the recognized event.

Abstract: Methods, systems, and media for providing direct and hybrid data acquisition approaches are provided.

Abstract: Aspects of the disclosure relate to computing platforms that utilize improved natural language processing techniques for performance evaluation and training. A computing platform may automatically determine, based on audio transcription files, a model for dynamic performance evaluation and training, which may be dynamically updated as additional audio transcription files are received. The computing platform may receive and analyze an additional audio transcription file using natural language processing and the model, which may result in proficiency scores. Based on the proficiency scores, the computing platform may calculate an overall proficiency score and identify areas for improvement associated with the first individual. Based on the areas for improvement, the computing platform may determine performance feedback tailored to the individual and may send, to a user device associated with the individual, the performance feedback.

Abstract: A business analytics conversational tool comprising: a device comprising a communication channel, a natural language processor (NLP), a fulfillment application program interface (F-API), a database application program interface (D-API), and a business management database; wherein: the NLP receives a user-input from a user through the communication channel; the NLP deduces an intent of the user-input; the NLP communicates the intent to the F-API; the F-API communicates a request for data associated with the intent to the database via the D-API; the D-API communicates the data associated with the intent to the F-API; the F-API converts the data associated with the intent to conversational form and sends the conversational form for voice output through the communication channel.

Abstract: A prevention and safety management system utilizes a non-intrusive imaging sensor (e.g. surveillance cameras, smartphone cameras) and a computer vision system to record videos of workers not wearing sensors. The videos are analyzed using a deep machine learning algorithm to detect kinematic activities (set of predetermined body joint positions and angles) of the workers and recognizing various physical activities (walk/posture, lift, push, pull, reach, force, repetition, duration etc.). The measured kinematic variables are then parsed into metrics relevant to workplace ergonomics, such as number of repetitions, total distance travelled, range of motion, and the proportion of time in different posture categories. The information gathered by this system is fed into an ergonomic assessment system and is used to automatically populate exposure assessment tools and create risk assessments.

Abstract: The present invention generally relates to a system and method creating secure data in a gas and oil supply chain. The system creates secure data related to oil and gas assets while traversing an oil and gas supply chain. At least one repository system(s), which collects secure data generated by capturing information using a secure observer device, sends the secure data to a gateway which is a part of a global management system or an integrity management system to create clustered events. The disclosure also relates to a system and method for managing and controlling data between entities in an oil and gas asset supply chain, and in particular to an excise tax management system and method to identify and reconcile tax filings, production volumes and operational reports.

Abstract: A multicore apparatus determines fitness of a candidate for a role. The apparatus includes a multicore system processing device, a plurality of parallel multicore graphics processing devices, a network interface device, a storage device, and a system interface bus. The network interface device provides remote connection to the multicore system processing device. The storage device stores training data including positive and negative examples. The positive examples represent candidates who would be invited to an interview, and the negative examples represent candidates who would not be invited to an interview. The positive and negative examples are used by the plurality of parallel multicore graphics processing devices to train a deep learning model, which is used by the multicore system processing device to determine fitness of the candidate for the role while eliminating unwanted bias.

Abstract: A computing system for generating a dynamic path for a fellow, includes a processor and a memory storing instructions that when executed by the processor cause the computing system to receive the fellow's skill graph, receive a target skill, receive a calendar object and generate the dynamic path including a task and/or a session. A non-transitory computer readable medium includes program instructions that when executed, cause a computer to receive the fellow's skill graph, receive a target skill, receive a calendar object and generate the dynamic path including a task and/or a session. A method for generating a dynamic path for a fellow includes receiving the fellow's skill graph, receiving a target skill, receiving a calendar object and generating the dynamic path including a task and/or a session.

Abstract: The disclosure herein generally relates to inventory management, and, more particularly, to a method and system for adaptive inventory replenishment. The system collects real-time information on product-inflow, product-outflow, and damaged goods, as input, and processes the inputs to learn a product-replenishment pattern. Further, a replenishment policy that matches the learnt product-replenishment pattern is selected, and based on the selected replenishment policy, at least one product-replenishment recommendation for the collected real-time information is generated.

Abstract: Provided are systems, methods, and software for determining a probability of selling to a consumer an automotive commodity associated with a vehicle of interest to the consumer. The software retrieves individual consumer data indicating at least one of present or future needs of the consumer, historical behavior of the consumer, and demographics of the consumer. The software retrieves dealer management system (DMS) data indicating transactional data relating to automotive commodities associated with the vehicle. Deal data indicating transactional terms relating to at least one of current acquisition of the vehicle of interest by the consumer, and past acquisition of the vehicle of interest or vehicles similar to the vehicle of interest by other consumers, is retrieved. The software predicatively analyzes the individual consumer data, DMS data, and deal data and computes a probability of selling at least one of the automotive commodities to the consumer based on the predictive analysis.

Abstract: A business analytics conversational tool comprising: a device comprising a communication channel, a natural language processor (NLP), a fulfillment application program interface (F-API), a database application program interface (D-API), and a business management database; wherein: the NLP receives a user-input from a user through the communication channel; the NLP deduces an intent of the user-input; the NLP communicates the intent to the F-API; the F-API communicates a request for data associated with the intent to the database via the D-API; the D-API communicates the data associated with the intent to the F-API; the F-API converts the data associated with the intent to conversational form and sends the conversational form for voice output through the communication channel.

Abstract: Methods, systems, and media for providing direct and hybrid data acquisition approaches are provided. In accordance with some embodiments of the disclosed subject matter, a method of data acquisition for construction of classification models that incorporates multiple human reviewing resources is provided, the method comprising: receiving a cost structure for constructing a classification model using a data set; instructing human reviewing resources to search through the data set and select instances of a class that satisfy a criterion, providing the human reviewing resources with a definition of the class; training the classification model with the instances from the human reviewing resources; determining when an expected gain for performing additional searches by the human reviewing resources as a function of the cost structure is lower than a given threshold; and, instructing the human reviewing resources searching through the set to label one or more examples from the data set.

Abstract: Techniques for triggering an action associated with a task items are provided. A task item associated with a triggering criterion is provided. The triggering criterion requires an occurrence of any of a plurality of communication events. The plurality of communication events includes a telephone call. In some implementations, at least two of the plurality of communication events are of different communication types. In some implementations, the different types are telephone calls, emails, and text messages. The occurrence of a first communication event of the plurality of communication events is detected. It is determined the triggering criterion is satisfied. In response to the determining, a notification associated with the task item is caused to be presented to a user of the electronic device.

Abstract: A prevention and safety management system utilizes a non-intrusive imaging sensor (e.g. surveillance cameras, smartphone cameras) and a computer vision system to record videos of workers not wearing sensors. The videos are analyzed using a deep machine learning algorithm to detect kinematic activities (set of predetermined body joint positions and angles) of the workers and recognizing various physical activities (walk/posture, lift, push, pull, reach, force, repetition, duration etc.). The measured kinematic variables are then parsed into metrics relevant to workplace ergonomics, such as number of repetitions, total distance travelled, range of motion, and the proportion of time in different posture categories. The information gathered by this system is fed into an ergonomic assessment system and is used to automatically populate exposure assessment tools and create risk assessments.

Abstract: A method involving the use of a system is disclosed. The system comprises a processor and an associated memory. The processor executes stored instructions and connects via electronic communication means to create and suggest social events with an associated list of attendees, time range, activity, and location. These events may come into being solely as a result of the system. The attendees are drawn from users with a profile comprising periods of time for which the user is available, personal interests and the identities of persons with whom the user is personally acquainted.

Abstract: A resource reservation system includes an information processing apparatus configured to manage reservation information of one or more resources, and an information processing terminal configured to acquire the reservation information from the information processing apparatus. The information processing apparatus includes first circuitry configured to provide information necessary for transmitting the reservation information to the information processing terminal. The information processing terminal includes second circuitry configured to receive the information provided by the first circuitry. The information processing terminal can acquire the reservation information from the information processing apparatus by using the information received by the second circuitry.

Abstract: A system and method for generating a customized user interface showing a state of drilling operations at successive levels of drilling operations includes receiving synchronized data from a local server installed on each drilling rig of a fleet, analyzing the synchronized data with a real-time analytics engine including at least one predictive model to identify at least one drilling operation event associated with a drilling rig from the synchronized data, applying logic rules to calibrate outputs of the real-time analytics engine to determine a set of key performance indicators for the at least one drilling operation event from the drilling rig, and generating the customized user interface to be accessed by a user computing device to visualize the set of key performance indicators, wherein the customized user interface indicates a recommended change in drilling operations based on an analysis of the set of key performance indicators.

Abstract: A method and apparatus are described for assigning agents using updated criteria tables. In one example, an assignment system maintains an assets table including properties of assets, a recovery agent criteria table including values for a location and a capacity of recovery agents, and a requester criteria preferences table including agent preference factors received from requesters. A requester requests a recovery agent to recover an asset. The agents are scored and weighted using the tables and the asset is assigned to a selected agent. The agent capacity criteria is adjusted in response to the assignment and the agent capacity criteria is adjusted in response to receiving recovery status information about the asset.

Abstract: A system for recording events on a distributed ledger includes: a server; a terminal including a terminal processor executing an OS; and a data capture device including a housing, a data capture assembly configured to capture product data, a communication interface, a memory including a first driver and/or a firmware, and a processor executing instructions in the memory. The instructions include instructions to transmit the product data to the terminal through the communication interface. The terminal includes a second driver enabling the OS to communicate with the data capture device to accept the product data. At least one of the first and second drivers and the firmware includes a transmission flag changeable between activated and deactivated states. The activated state causes the product data to be transmitted to the server. Upon the product data satisfying a recordation condition, the product data is recorded, from the server, to the distributed ledger.