Dell Products Inc.

Pradeepta Ranjan Choudhury

Hung The Dinh

Sabu K Syed

Kannappan Ramu

Jatin Kamlesh Thakkar

Abhijit Mishra

Tarun Gupta

Rajesh Krishnan

Manikandan Pammal Rathinavelu

Vijaya Panguluru Sekhar

Venkat S Ramachandran

Geetha Venkatesan

Nikhil Reddy Kota

Matthew Christopher Frank

Naga Kalyan Kambapu

Sejal Mohata

Khadeer Ahmed Shaikh

Sethukarasi Sockalingam

Adam Mahram

Jonathan Cornish Byerly

A method comprises receiving data corresponding to execution of one or more applications, accessing at least one function from a codes as a service source, and training the at least one function based, at least in part, on one or more parameters, wherein the training is performed using a first portion of the data. In the method, a deployment version of the at least one function is generated based, at least in part, on the training, and the deployment version of the at least one function is applied to a second portion of the data to perform at least one service.

Framework for codes as a service management and deployment

A method includes generating a model for a content taxonomy using one or more machine learning (ML) techniques. The model comprises a plurality of metadata tags for electronic content. In the method, a plurality of electronic content items are received from a plurality of content management systems, and are analyzed using the one or more ML techniques. The method also includes assigning one or more of the plurality of metadata tags to each of the plurality of electronic content items based on the analysis, and transmitting to the plurality of content management systems via one or more application programming interfaces, a plurality of recommendations comprising which of the plurality metadata tags to apply to the plurality of electronic content items.

Enterprise taxonomy management framework for digital content marketing platform

Methods, apparatus, and processor-readable storage media for device manufacturing cycle time reduction using machine learning techniques are provided herein. An example computer-implemented method includes obtaining video input related to one or more manufacturing resources in a manufacturing environment; determining availability status information for at least one of the one or more manufacturing resources by applying one or more machine learning models to the obtained video input; and outputting the determined availability status information to at least one user device associated with the manufacturing environment.

Device manufacturing cycle time reduction using machine learning techniques

Growing community of inventors

Bengaluru, India

Pradeepta Ranjan Choudhury