Abstract: The present disclosure involves systems, software, and computer implemented methods for an artificial intelligence work center for ERP data. One example method includes receiving scenario and model settings for an artificial intelligence model for a predictive scenario. A copy of the dataset is processed based on settings to generate a prepared dataset that is provided with the settings to a predictive analytical library. A trained model trained and evaluation data for the trained model is received from the predictive analytical library. A request is received to generate a prediction for the predictive scenario for a target field for a record of the dataset. The record of the dataset is provided to the trained model and a prediction for the target field for the record the dataset is received from the model. The prediction is included for presentation in a user interface that displays information from the dataset.

Abstract: Techniques are described herein for pattern identification using enhanced event stream processing. In an embodiment, an event instance is received via a programming interface, the event instance representing an occurrence of a corresponding type of real-world event and comprising one or more variable values pertaining to the occurrence. A ruleset is periodically evaluated as applied to the event instance including, for each of one or more reevaluations of the ruleset as applied the event instance, binding one or more variables of one or more rules of the ruleset to one or more variable values of the event instance and binding one or more other variables of one or more rules of the ruleset to one or more just-in-time variable values, the one or more just-in-time variable values received via one or more programming interfaces in context of the reevaluation.

Abstract: Techniques are described herein for pattern identification using enhanced event stream processing. In an embodiment, an event instance is received via a programming interface, the event instance representing an occurrence of a corresponding type of real-world event and comprising one or more variable values pertaining to the occurrence. A ruleset is periodically evaluated as applied to the event instance including, for each of one or more reevaluations of the ruleset as applied the event instance, binding one or more variables of one or more rules of the ruleset to one or more variable values of the event instance and binding one or more other variables of one or more rules of the ruleset to one or more just-in-time variable values, the one or more just-in-time variable values received via one or more programming interfaces in context of the reevaluation.

Abstract: Systems and method are provided for facilitating contactless delivery of a tangible good by a delivering party to an ordering party, comprising: receiving scanning data from a first computing device associated with the delivering party, the scanning data comprising a digital image of a vehicle license plate of a target device of the ordering party; determining a vehicle registration plate number of the vehicle license plate of the target device in the digital image; identifying a user account identification value associated in a datastore with the vehicle registration plate number; based on the identified user account identification value, determining an order of the tangible good associated in a datastore with the user account identification value and transmitting order information about the order including an identifier of the tangible good to the first computing device, thereby causing a display of the order information in a graphical user interface at the first computing device; transmitting a verificatio