Abstract: Method, system, device, and non-transitory computer-readable medium for data management. In some examples, a computer-implemented method includes: collecting a plurality of personal data sets and a plurality of sensor data sets; for each vehicle operator of the plurality of vehicle operators: generating and continually updating an operator profile, one or more telematics inferences, a data profile; and listing and continually updating the data profile onto a telematics marketplace; receiving a plurality of conditional bids for a target operator profile associated with a target data profile, each conditional bid of the plurality of conditional bids including one or more conditional payments and one or more payment conditions; determining, for each conditional bid of the plurality of conditional bids, a predicted bid-generated profit or a predicted bid-generated revenue; determining a winning bid and an associated winning bidder; and transmitting the target operator profile to the winning bidder.

Abstract: A method, computer program product, and a system where a processor(s) monitors tasks performed within the shared computing environment by an authorized user via an interface(s) of a computing system. The processor(s) determines that the authorized user is initiating a given task and queries a repository to determine if the repository comprises a runbook comprising guidance relevant to the given task. The processor(s) determines that the repository does not comprise the runbook and automatically initiates a device(s) to capture and cognitively analyze activities performed by the authorized user to complete the given task (e.g., an audio capture device and a screen recorder). The processor(s) determine that the authorized user has completed the given task and stop the capturing and generate the runbook from the captured activities.

Abstract: Provided are a method and apparatus for providing a counseling service. A method of operating a counseling center server interworking with an instant messaging service includes acquiring, based on an input of a first user for requesting counseling through a channel of a second user registered in the instant messaging service, a counseling type of the requested counseling, creating a first type of counseling ticket corresponding to unmanned counseling or a second type of counseling ticket corresponding to manned counseling based on the counseling type, monitoring a state change event that changes a state of the counseling ticket, and controlling an interfacing object included in a chat interface for counseling provided to a terminal of the first user to correspond to the channel to indicate the counseling type and the changed state of the counseling ticket.

Abstract: Provided are a method and apparatus for providing a counseling service. A method of operating a counseling center server interworking with an instant messaging service includes providing a profile of at least one expert account for counseling linked to a channel of a second user to a terminal of a first user, identifying an initiation condition for a counseling ticket for counseling with a first expert account, creating a counseling ticket to be allocated to the first expert account, and transmitting counseling content through a chat room for counseling of the channel in which the first expert account and an account of the first user participate.

Abstract: To schedule a future interaction between a caller and a call-center, a management computing system associated with the call center is configured to determine an estimated call time for addressing the caller's issues, based at least in part on a predicted call intent as well as feature enrichment data received from one or more memory storage areas. Upon determining a predicted call duration for the call, the management computing entity accesses the caller's calendar, such as through an internet-based communication between the caller's user computing entity and the management computing entity, or via third-party access permissions provided by the caller. The management computing entity identifies one or more candidate timeslots based at least in part on the predicted call duration, and receives user input selecting a candidate timeslot for scheduling the callback.

Abstract: A system and method for determining a score reflecting the use of force that a police officer applied in an incident, comprising a computer system for collecting, storing and processing data relating to an incident involving the police officer's use of force in one or more interactions within an incident; the computer system iteratively generating scores for each use of force interactions within the incident; the computer system comparing the police officer's use of force score, whether overall or for an interaction to a score for a group of officers; and, the computer system generating a risk score by running a model based on the use of force score.

Abstract: An e-commerce based transaction system on a network connected via the Internet to multiple remote computers and mobile phones providing the distribution of hotel room lodging reservations or other lodging sites for location and date of specific events. A central database is hosted on a server and transmitted to individual remote servers or users that can have a respective database of listings from individual brokers oration or other system participants. In the alternative, the blockchain can be a mode of information dissemination. E-commerce transactions are conducted by the system, which performs a number of transaction-related functions, such as posting available hotel room reservations or lodging site reservations for sale, and purchasing spaces for use, resale, brokerage or pure speculation online.

Abstract: Methods, apparatus, and articles of manufacture are disclosed. An example apparatus includes a co-viewing calculator to calculate a co-viewing factor corresponding to a demographic of panelists based on exposure information, an exposure time calculator to calculate a number of census co-viewer exposure minutes based on the co-viewing factor, a data aggregator to determine an aggregate exposure time total based on census exposure information and the number of census co-viewer exposure minutes, and a report generator to generate a report including the aggregate exposure time total.

Abstract: A text analytics system may predict whether a policy will be adopted. The system may include at least one processor configured to access information scraped from the Internet to identify text data associated with comments expressed by a plurality of individuals about a proposed policy. The at least one processor may be further configured to analyze the text data in order to determine a sentiment of each comment; apply an influence filter to each comment to determine an influence metric associated with each comment; weight each comment using the influence metric; determine based on an aggregate of the weighted comments, an indicator associated with adoption of the policy; and transmit the indicator to a system user.

Abstract: System and methods for providing a target price for a target vehicle with a target mileage are provided. One exemplary method includes receiving attributes for the target vehicle, receiving prices for sold vehicles having attributes corresponding to the target vehicle attributes, and receiving mileages for the sold vehicles. The exemplary method may further include generating a linear regression model relating the sold vehicle mileages to the sold vehicle prices, and providing the target price for the target vehicle based on the model.

Abstract: A system for optimizing resource allocation includes and/or interfaces with: a set of contextual data sources; a decision-making subsystem; and a set of schedules. Additionally or alternatively, the system can optionally include and/or interface with a set of user interfaces, memory, a set of data collection, and/or any other suitable components. A method for resource optimization includes: receiving a set of inputs; and processing the set of inputs and/or contextual data with a set of models to produce a set of schedules. Additionally or alternatively, the method can include any or all of: training the set of models; pre-processing the set of inputs to supplement the set of contextual data; dynamically adjusting the set of schedules; triggering a set of actions based on the set of schedules; updating the set of models; and/or any other processes.

Abstract: A system for optimizing resource allocation includes and/or interfaces with: a set of contextual data sources; a decision-making subsystem; and a set of schedules. Additionally or alternatively, the system can optionally include and/or interface with a set of user interfaces, memory, a set of data collection, and/or any other suitable components. A method for resource optimization includes: receiving a set of inputs; and processing the set of inputs and/or contextual data with a set of models to produce a set of schedules. Additionally or alternatively, the method can include any or all of: training the set of models; pre-processing the set of inputs to supplement the set of contextual data; dynamically adjusting the set of schedules; triggering a set of actions based on the set of schedules; updating the set of models; and/or any other processes.

Abstract: Agenda intelligence software determines that agenda items are incomplete after time allotments therefor have elapsed during a multi-participant communication and alters an agenda of the multi-participant accordingly, such as using a transcription generated in real-time during the multi-participant communication. A software platform may in some cases include the agenda intelligence software, a transcription engine which generates the real-time transcription of the multi-participant communication, and a communication system which implements the multi-participant communication. The agenda may be altered by rescaling time allotments for other agenda items and/or by moving one or more other agenda items to an agenda for a next multi-participant communication.

Abstract: A method for forecasting part sales, including collecting sales data for a part over a series of sales time periods and collecting activity data for a plurality of activity types over a series of activity time periods for a plurality of machines including the part. A mean activity time can be calculated for each activity type for each time period in the series of activity time periods based on the collected activity data. An activity probability density function of the mean activity times for each activity type is created and a machine learning model is trained using an expectation of activity derived from the probability density functions for each activity type and the collected sales data. Machine activity data for a set of machines can be fed into the trained model to derive a part sales probability density function for the set of machines.

Abstract: Technologies are described for identifying features that can be used to predict missing attribute values. For example, a set of structured data can be received comprising a plurality of features and one or more labels. The set of structured data can be pre-processed, comprise applying one or more cleaning policies to produce a set of pre-processed features. The set of pre-processed features can be filtered using correlation-based filtering that uses one or more correlation estimation techniques to remove at least some highly correlated features. The correlation-based filtering can produce a set of filtered features. Feature subset selection can be performed comprising applying machine learning algorithms to the set of filtered features to determine relative importance among the set of filtered features. Based on the relative importance, a subset of the set of filtered features can be determined. The subset of the set of filtered features can be output.

Abstract: A device may receive input data associated with a legal regulation, and may process the input data to generate a record that includes: the input data in a knowledge representation format and a semantic representation format, data identifying a feature, data identifying an industry classification, or data identifying an entity of interest. The device may process the record, with machine learning models, to determine output data that includes: data indicating that the legal regulation is inconsistent, data indicating that the legal regulation is outdated, data indicating a sentiment for the legal regulation, data indicating a prescriptive nature of the legal regulation, data indicating a complexity of the legal regulation, data indicating a misrepresentation in the legal regulation, data indicating a compliance burden associated with the legal regulation, or data indicating an industry performance impact of the legal regulation. The device may perform actions based on the output data.

Abstract: An identification information input support system supports a worker inputting identification information to a plurality of devices. The support system includes an information storage apparatus, and a mobile terminal. The information storage apparatus includes a communication unit that communicates with the mobile terminal, a storage unit that stores device information, and an update unit that updates the management information in response to input of the identification information. The device information includes the identification information, drawing information indicating location in which the device is installed, layout information indicating a layout of the device in the drawing information, and management information indicating a degree of progress of the task of inputting the identification information to the devices.

Abstract: Systems and methods are disclosed related to determining and providing contextual information associated with a meeting based in part by parsing text from a meeting invitation or calendar entry. A voice-capturing device may receive audio data before or during a meeting that includes an invocation phrase used to invoke a voice-based functionality. A response may be generated by the voice-capturing device or an associated service provider system based on the contextual information determined from the parsed meeting invitation and/or related sources.

Abstract: Techniques are provided for reinforcement learning-based evaluation of software product usage. One method comprises obtaining key performance indicators indicating software product usage by a user; determining, for a predefined time window: (i) a mean and/or a median of the obtained KPIs; (ii) an amount of time that the software product was active; and (iii) an amount of interactions by the user with a user interface; evaluating possible login states of the software product using at least one reinforcement learning agent, wherein the evaluating comprises (a) observing the plurality of possible login states, including a current state comprising a current login state of the software product, and (b) obtaining an expected utility score for changing from the current login state to a different login state of the software product; and determining whether to change from the current login state to a different login state of the software product based on the expected utility score.

Abstract: In response to an order for a service from a customer, information pertaining to a service state change from a current service state to a new service state of the order is determined, where the current service state relates to a current service provided to the customer. In response to the information pertaining to the service state change, a network element of an infrastructure of network elements to provision is identified.