Accenture Global Solutions Limited

Suhas Nagaraju

Koushik M Vijayaraghavan

Aditi Kulkarni

Vijeth Srinivas Hegde

Ravindra Kabbinale

Amrutha Pervody Bhat

Sanjay Singatalur

Rajendra Tanniru Prasad

Rajendra Prasad Tanniru

Sundar Prasad Jayaraman

Sreenath Kothavoor

Rajalakshmy Iyer

Haridas Kadaba Srinivasan

A Akhila

Narasimhachar Goutham

Smitha Ka

Divya R Purushotham

A device may receive, from the client device, provisioning data selected from a user interface and identifying a cloud provider or on premise resources, an infrastructure, applications, tools, and artificial intelligence (AI) assets for provisioning a customized platform. The device may process the provisioning data, with a machine learning model, to identify conflicting or redundant applications, tools, or AI assets and to generate updated provisioning data, and may determine computing resource data identifying computing resources required for execution of the applications, tools, and AI assets. The device may obtain the applications, tools, and AI assets from a data structure, and may generate a customized template based on the computing resources and the applications, tools, and AI assets. The device may execute the customized template to provision the computing resources with the applications, tools, and AI assets and to create the customized platform.

Automatically generating and provisioning a customized platform for selected applications, tools, and artificial intelligence assets

A device may receive data associated with a software development platform, and may correlate the data to generate correlated data. The device may train a first model, with the correlated data, to generate a software impact analyzer model, and may train a second model, with the correlated data, to generate a software development behavior model. The device may receive data identifying a new software requirement associated with the software development platform, and may process the data identifying the new software requirement, with the software impact analyzer model, to identify a file or a module impacted by the new software requirement. The device may process data identifying the file or the module, with the software development behavior model, to identify a developer to handle the new software requirement, and may perform one or more actions based on the data identifying the file or the module and data identifying the developer.

Utilizing artificial intelligence to improve productivity of software development and information technology operations (DevOps)

Growing community of inventors

Bengaluru, India

Suhas Nagaraju