Oracle International Corporation

Joseph Michael Albowicz

Amir Hossein Rezaeian

Beat Nuolf

James Edward Bridges

Ram Razdan

Shintaro Okuda

Venkat Sai Tatituri

Terence Munday

Brian David MacDonald

The present disclosure relates to systems and methods that use an artificial intelligence (AI) model to generate outputs that can be evaluated to predict which logged entry items match entry request record line items of an entry request record. Additionally, the present disclosure relates to systems and methods for intelligently detecting anomalies within data sets.

Systems and methods for intelligent field matching and anomaly detection

The present disclosure relates to systems and methods for providing an interface that displays a prediction of remaining code segments of a code comprised of a sequence of code segments. The remaining code segments may be automatically predicted in response to the interface receiving a user's input of at least a portion of a code segment (or a user input of other data elements that are not code segments). Predicting the remaining code segments may be performed using a trained machine-learning model that can generate output(s) predictive of remaining code segments in response to a user inputting at least one code segment of a code into an input element of the interface.

Systems and methods for intelligently predicting accurate combinations of values presentable in data fields

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Redwood City, CA, United States of America

Joseph Michael Albowicz