Verizon Patent and Licensing Inc.

Amazon Technologies, Inc.

Alex Guazzelli

Steven Thomas Archer

Peter Tippett

Gina M Ganley

Wade Baker

Ryan Paul Thomas

Stephanie Moyerman

Fletcher Liverance

Donald Erik Schneider

David Said Martinez

Ramesh Sekaran

John Sitar

Methods, systems, and computer-readable media for unified code and data management for machine learning models are disclosed. A plurality of dependency graphs, including a first dependency graph and a second dependency graph, are generated. The graphs comprise nodes associated with a software development model or machine learning model, and the nodes represent transforms. One or more transforms of the first dependency graph are used to generate first output corresponding to a node in the second dependency graph. One or more transforms of the second dependency graph are used to generate second output based at least in part on the first output.

Unified code and data management for model development

The security or other attributes of mobile applications may be assessed and assigned a security score. In one implementation, a device may obtain information relating to the mobile applications, and may determine, for each of the mobile applications, a number of security scores. Each of the security scores may define a level of risk for a security category relating to a mobile application. The device may further combine the security scores, for each of the mobile applications, to obtain, for each of the mobile applications, a final security score.

Mobile application security score calculation

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San Diego, CA, United States of America

Alex Guazzelli