Abstract: Systems and methods for predicting interactions between objects and predicting a trajectory of an object are presented herein. A system can obtain object data associated with a first object and a second object. The object data can have position data and velocity data for the first object and the second object. Additionally, the system can process the obtained object data to generate a hybrid graph using a graph generator. The hybrid graph can have a first node indicative of the first object and a second node indicative of the second object. Moreover, the system can process, using an interaction prediction model, the generated hybrid graph to predict an interaction type between the first node and the second node. Furthermore, the system can process, using a graph neural network model, the predicted interaction type between the first node and the second node to predict a trajectory of the first object.

Abstract: Various systems and methods are provided that integrate data from disparate sources to identify shipment misalignments and display such information in interactive user interfaces. For example, the systems described herein can define various geographic regions using location and census data and identify the defined geographic regions in which stores are located. Using shipment data and micro-market data, the systems described herein can then identify the geographic regions that items are shipped to, identify the demand for such items in the geographic regions, and determine whether the quantity of items shipped to the geographic regions is appropriate based on the demand. Such information can be displayed in an interactive user interface that allows a user to view the geographic clustering of item demand, identify potential opportunities for correcting shipment misalignment, and/or correct identified shipment misalignments.

Abstract: Systems and methods are disclosed herein for reducing a risk of associating with a client that may engage in illegal activity. A system accesses data associated with an entity for a given context, applies a plurality of AI models to the data based on the context to generate a plurality of AI assessments. Data for showing risk factors, assessments of the risk factors, and data for evaluating risk factors can be transmitted for rendering in a user interface in a display device. Analyst feedback can be received and used to update the AI models.

Abstract: Systems and methods are disclosed herein for reducing a risk of associating with a client that may engage in illegal activity. A system accesses data associated with an entity for a given context, applies a plurality of AI models to the data based on the context to generate a plurality of AI assessments. Data for showing risk factors, assessments of the risk factors, and data for evaluating risk factors can be transmitted for rendering in a user interface in a display device. Analyst feedback can be received and used to update the AI models.

Abstract: Various systems and methods are provided that integrate data from disparate sources to identify shipment misalignments and display such information in interactive user interfaces. For example, the systems described herein can define various geographic regions using location and census data and identify the defined geographic regions in which stores are located. Using shipment data and micro-market data, the systems described herein can then identify the geographic regions that items are shipped to, identify the demand for such items in the geographic regions, and determine whether the quantity of items shipped to the geographic regions is appropriate based on the demand. Such information can be displayed in an interactive user interface that allows a user to view the geographic clustering of item demand, identify potential opportunities for correcting shipment misalignment, and/or correct identified shipment misalignments.

Abstract: Various systems and methods are provided that integrate data from disparate sources to identify shipment misalignments and display such information in interactive user interfaces. For example, the systems described herein can define various geographic regions using location and census data and identify the defined geographic regions in which stores are located. Using shipment data and micro-market data, the systems described herein can then identify the geographic regions that items are shipped to, identify the demand for such items in the geographic regions, and determine whether the quantity of items shipped to the geographic regions is appropriate based on the demand. Such information can be displayed in an interactive user interface that allows a user to view the geographic clustering of item demand, identify potential opportunities for correcting shipment misalignment, and/or correct identified shipment misalignments.