Intuit, Inc.

Bor-Chau Juang

Linxia Liao

Divya Beeram

Christiana Mei Hui Chen

Nicholas R Johnson

Pratyush Kumar Panda

Eyal Shafran

Certain aspects of the present disclosure provide techniques for predicting activity within a software application using a machine learning model. An example method generally includes generating a multidimensional time-series data set from time-series data associated with activity within a software application. The multidimensional time-series data set generally includes the time-series data organized based on a plurality of time granularities. Using a machine learning model and the generated multidimensional time-series data set, activity within the software application is predicted for one or more time granularities of the plurality of time granularities. Computing resources are allocated to execute operations using the software application based on the predicted activity within the software application.

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Santa Clara, CA, United States of America

Bor-Chau Juang