Systems for dynamic entity data control are provided. In some examples, a system may receive a request to generate a recommendation for a second region or area for the entity to operate and/or a request for a second entity to house the entity during operating in the second region or area. The system may generate and transmit requests for additional data. The requests for additional data may include requests for data about the entity, as well as requests for data about a plurality of other entities, other regions or areas, and the like. Response data may be received by the system and may be analyzed using machine learning. Once the recommendation has been generated, one or more instructions may be generated and transmitted to an entity computing system, a computing system of the second or temporary entity, or the like. The generated instruction may then be executed to modify data, display additional or new data, or the like.

A method and apparatus for analyzing agricultural data using an analytical tool of a server program is disclosed. The server platform includes a receiving tool that continuously receives personalized raw data on agricultural work processes, with the raw data including usage data and business data from a plurality of agricultural data sources. An analyst can present an analytical query to the analytical tool, with the analytical query comprises analytical parameters. The analytical tool, based on the analytical parameters, selects part of the raw data, anonymizes it, and aggregates it into status data based on the analytical parameters. The status data relate to a current agricultural status of an area of agricultural production, which the analytical tool may provide to the analyst.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for evaluating risk are provided. One of the methods includes: obtaining a plurality of transactions each comprising a plurality of data dimensions, wherein some of the plurality of transactions are labeled as risky transactions and some of the plurality of transactions are labeled as safe transactions; obtaining at least one of the plurality of data dimensions as an output space and the plurality of data dimensions other than the at least one data dimension as an input space; initializing a first mapping from the input space to a latent space and a second mapping from the latent space to the output space, wherein the first mapping comprises mapping the input space to the latent space according to an inverse of a generalized linear model; and optimizing the first mapping and the second mapping to generate a Bezier surface.

A land usage property identification method, apparatus, electronic device and storage medium are disclosed. The method includes: acquiring point-of-interest (POI) data and area-of-interest (AOI) data; dividing a target area to be identified according to road network information, and obtaining at least one block in the target area; associating acquired POI data to a corresponding target block in the at least one block; obtaining a first weight set corresponding to a corresponding category of each POI data in the target block; obtaining a second weight set corresponding to a corresponding area of each AOI data in the target block; obtaining a land usage property weight set according to the first weight set, the second weight set and a preset land usage classification standard; and identifying a land usage property of the target block according to a target weight in the land usage property weight set.

Methods and systems for controlling inventory in a supply chain are described. The system receives supply chain data including input signals comprising operational plans and observed supply chain operational metrics. The system automatically generates predicted supply chain operational metrics including a value at risk that is predicted for a product. The system automatically infers causal factors including a shipment of the product. The causal factors impact the predicted supply chain operational metrics. The system communicates a user interface for shipments of the product and the system receives input causing a change to a shipment of the product impacting the predicted supply chain operational metrics including the value at risk for the first product.

A promotion processing system may include a user device associated with a given user and geographically spaced apart communications servers each executing a respective chatbot. A promotion processing server may determine a first geographic zone of the given user based upon communications between the user device and a first geographically spaced apart communications server, and generate and communicate a digital promotion to the user device via a first chatbot. The digital promotion may have a redemption parameter based on the first geographic zone. The promotion processing server may determine a second geographic zone of the given user based upon communications between the user device and a second geographically spaced apart communications server, and determine whether the redemption parameter is valid in the second geographic zone, and when not, adjust the redemption parameter and communicate the digital promotion with the adjusted redemption parameter to the user device via a second chatbot.

Described is a system for characterizing communication devices by device type. The system obtains device information for a variety of communication device types, each device type associated with a user account of a bidirectional network. The communication device types are analyzed to perform regional and temporal device characterization, behavioral and feature device characterization, and device homophily analysis on the bidirectional network. The analysis is then used for targeted regional marketing.

Implementations of a computer implemented method and system to transform geolocation exchange unit specifications and transportation and freight and parking and tolling and curb management and transportation management association unit securities or derivative unit securities or unitization structure capacity units with two waypoints or a destination waypoint or a series sequence of waypoints into multi-modal objects which are tradable as commodities such as wheat, oil, corn, stocks, foreign exchange, fixed income or other forward or securitized markets and broadcast those unitized prices, indices and associated news over a plurality of electronic devices. The present disclosed invention relates to combining the concepts of objected oriented programming and navigation systems and social networking, price-time priorities queues, replacement costs, termination valuations, financial markets, commodity structuring transformation or unitization structures as a fungible asset classes or tradable markets.

The present technology discloses methods, systems, and non-transitory computer-readable media for receiving ratings data, the received ratings data comprising responses to a survey associated with one or more customers of an enterprise and presenting a fixed number of attributes; aggregating the received ratings data; generating a report based on the aggregated ratings data; and generating a navigable interface comprising the generated report, the navigable interface accessible to an authorized user and comprising tabs, each tab interactable to display a respective portion of the generated report.

A method, computer system, and computer program product that aggregates sample data regarding a plurality of factors associated with employment and geographic location; performs iterative analysis on the sample data using machine learning to construct a predictive model; populates, using the predictive model, a database with predicted values of real estate demand for a selected set of predefined geographic regions; converts the predicted values of real estate demand in the database into percentages of observed values of real estate demand for geographic regions within the selected set over a specified time period to create indices of real estate demand; and rank orders the geographic regions within the selected set according to their indices of real estate demand.