Microsoft has partnered with Cognizant to offer its AI and Copilot services for enterprise users. As per the company, the partnership aims to enhance employee experiences and accelerate cross-industry innovation.
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Cognizant said that the the combined strength of this partnership has the potential to deliver substantial innovation for enterprise customers, contributing to the projected $1 trillion that AI is expected to inject into US GDP over the next ten years. This partnership also has the potential to significantly accelerate AI adoption and innovation in India, claims Microsoft.
As part of the partnership, Cognizant purchased 25,000 Microsoft 365 Copilot seats for Cognizant associates, along with 500 Sales Copilot seats and 500 Services Copilot seats to enhance productivity, improve workflows and change customer experiences. In addition, Cognizant will work to deploy Microsoft 365 Copilot to a million users within their global 2000 clients and across 11 industries.
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Through Cognizant’s Synapse skilling program, 35,000 Cognizant developers have been trained on GitHub Copilot, with an additional 40,000 developers slated to receive training.
“Generative AI can be a game-changer for virtually every business in every industry, opening up new possibilities for innovation, efficiency and growth,” said Ravi Kumar S, CEO, Cognizant. “That’s why we are investing $1 billion in generative AI over the next three years and leading the development of new research to explore its potential for our clients, their employees and end customers.”
“Our expanded partnership with Cognizant will help organisations harness generative AI to transform business operations, enhance employee experiences, and deliver new value for customers,” said Judson Althoff, executive vice president and chief commercial officer, Microsoft.
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Cognizant and Microsoft will collaborate to deliver industry-specific solutions, using Copilot Studio, a platform that allows users to create and customise their own industry-and-business-function specific Copilots, leveraging generative AI large language models, business applications and enterprise data.
