Cognizant and Microsoft Collaborate to Drive Enterprise Adoption of Generative AI

Cognizant and Microsoft deepen collaboration to democratize access to generative AI, aiming to transform enterprise workflows and enhance innovation across industries.

  • Cognizant and Microsoft deepen collaboration to democratize access to generative AI, aiming to transform enterprise workflows and enhance innovation across industries.
  • Cognizant invests in Microsoft 365 Copilot seats for its associates, with plans to deploy the technology to a million users within global clients across 11 industries.
  • This partnership has the potential to fuel substantial innovation, contributing to AI’s projected impact on GDP and accelerating AI adoption and innovation globally.

Cognizant and Microsoft are joining forces to drive the widespread adoption of generative AI within enterprises, aiming to revolutionize workflows and foster innovation. Through strategic investment in Microsoft 365 Copilot seats, Cognizant seeks to empower its associates and enhance productivity, streamlining processes, and redefining customer interactions.

With plans to deploy Microsoft 365 Copilot to a million users across global clients spanning 11 industries, Cognizant is poised to significantly impact AI adoption and innovation. This collaboration is expected to contribute to the projected $1 trillion boost to US GDP from AI over the next decade and accelerate AI’s integration into India’s economy, with potential contributions of $450–500 billion to India’s GDP by 2025.

Cognizant CEO Ravi Kumar S emphasizes the transformative potential of generative AI, committing $1 billion to its development over the next three years. Microsoft’s Copilot capabilities, including Copilot for Microsoft 365 and GitHub Copilot, will play a pivotal role in driving AI adoption and innovation for millions of users across Cognizant’s network. The partnership aims to deliver industry-specific solutions using Copilot Studio, leveraging generative AI large language models and enterprise data to address key challenges across sectors like healthcare, retail, finance, and manufacturing.

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