Accenture Global Solutions Limited

Sreenath Kothavoor

Koushik M Vijayaraghavan

Aditi Kulkarni

Rajendra Prasad Tanniru

Vijeth Srinivas Hegde

Ravindra Kabbinale

Amrutha Pervody Bhat

Sanjay Singatalur

Santhosh Mv

Suhas Nagaraju

Naveen Raj K P

Rajalakshmy Iyer

Dilip Krishnan

Meghana B Srinath

Lakshmi Srinivasan

Haridas Kadaba Srinivasan

Sumanth Channegowda

A Akhila

Narasimhachar Goutham

Ravi Kiran Singh

Vinay Chamarthi

In some implementations, a device may generate, based at least in part on a first set of inputs, a serverless software development environment associated with a set of cloud resources. The device may generate, based at least in part on a first machine learning model, a technology stack recommendation having a set of associated tools for performing a software development task. The device may instantiate the selected technology stack in the serverless software development environment and generate a set of applications based at least in part on executing the set of tools. The device may deploy the set of applications in one or more serverless application environments. The device may use machine learning to observe deployed applications, detect hidden anomalies, and perform root-cause analysis, thereby providing a lean and sustainable serverless environment.

Serverless environment-based provisioning and deployment system

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

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Kannur, India

Sreenath Kothavoor