Intuit, Inc.

Venkatesh Coimbatore Ravichandran

Terrence J Torres

Karen Kraemer Lowe

Debasish Das

Deepesh Ramachandran Vijayalekshmi

Archana Kataria

Salil Deshmukh

Guoli Sun

A document extraction system executed by a processor, may process documents using manual and automated systems. The document extraction system may efficiently route tasks to the manual and automated systems based on a predicted probability that the results generated by the automated system meet some baseline level of accuracy. To increase document processing speed, documents having a high likelihood of accurate automated processing may be routed to an automated system. To ensure a baseline level of accuracy, documents having a smaller likelihood of accurate automated processing may be routed to a manual system.

Metamodeling for confidence prediction in machine learning based document extraction

Certain aspects of the present disclosure provide techniques for detecting and preventing web service usage anomalies. Embodiments include forecasting, based on a model, a number of resource instances for one or more web services for a time period. Embodiments include receiving, after the time period has elapsed, a detected number of resource instances for the one or more web services for the time period. Embodiments include comparing the detected number of resource instances to the forecasted number of resource instances. Embodiments include determining, based on the comparing, a usage anomaly. Embodiments include determining an impact of the usage anomaly. Embodiments include outputting an indication of the usage anomaly and the impact of the usage anomaly.

Web service usage anomaly detection and prevention

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Mountain View, CA, United States of America

Venkatesh Coimbatore Ravichandran