Dell Products Inc.

Nikhil Reddy Kota

Hung The Dinh

Venkat S Ramachandran

Nithiyanandham Tamilselvan

Naga Kalyan Kambapu

Shubham Gupta

Sabu K Syed

Panguluru Vijaya Sekhar

Rajesh Krishnan

Kannappan Ramu

Reddeppa Kollu

Pallavi Jaini

Pradeepta Ranjan Choudhury

Prasad Ts Rao

Ravi R Shastri

Madhusudhana Reddy Chilipi

Puttaraju ChikkannaBommanna

Puttaraju Chikkanna

Madhu Chilipi

Navin Kumar

Nitya Seth

Desai Yarlagadda

Navin Kumar N

Lakshmi Prasad Banala

Anubhab Mohanty

Vibhor Sharma

Nagakalyan Kambapu

Zishnu Deb Das

Md Shadab Ali

Jonathan Cornish Byerly

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

A method includes receiving code for computer programming, analyzing the code and extracting a plurality of configuration properties from the code. In the method, one or more configuration files are generated from the extracted plurality of configuration properties, and microservice code is generated from the one or more configuration files. The microservice code is configured for deployment on one or more cloud computing platforms.

Code development for deployment on a cloud platform

An information handling system includes a repository that stores a pre-production validation suite and a production validation suite. The pre-production validation suite includes first validation factors, and the production validation suite includes second validation factors. A processor may deploy an application in a pre-production environment, and validate the application in the pre-production environment using the pre-production validation suite. If the application passes the pre-production validation suite, then the processor may deploy the application in a production environment. The processor also may validate the application in the production environment using the production validation suite, assign a score associated with each one of the first validation factors and each one of the second validation factors, and generate a report based on the score associated with each one of the first validation factors and each one of the second validation factors.

System and method for validating cloud-native applications for a production-ready deployment

Growing community of inventors

Round Rock, TX, United States of America

Nikhil Reddy Kota