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

Abstract: Embodiments of the disclosure relate to systems and methods of detecting and preventing fraud in financial institution accounts. In various embodiments, data associated with tradelines may be received from credit reporting bureaus. The data may be used to generate a graph that represents a community of shared tradelines based on matches between attributes associated with tradelines such as account numbers or account type. A set of machine learning models can be trained using a training dataset to provide a set of rules that is optimized for evaluating the graph to detect synthetic identities. The set of rules can be evaluated against one or more nodes in the graph to determine whether an identity represented by each respective node in the graph is a synthetic identity.