Home Bots & Business Cognizant and Microsoft announce partnership for generative AI in the enterprise

Cognizant and Microsoft announce partnership for generative AI in the enterprise

by Pieter Werner

Cognizant and Microsoft have broadened their collaborative efforts, emphasizing the integration of Microsoft’s generative AI technologies and Copilot tools into Cognizant’s advisory and digital transformation services. This partnership aims to facilitate the wider adoption of generative AI technologies, targeting enhancements in enterprise operations, employee experiences, and accelerating innovation across various industries.

Located at the convergence of industry knowledge and technological innovation, Cognizant aims to leverage Microsoft’s generative AI capabilities to spur significant business transformations. The partnership is expected to have a notable economic impact, potentially contributing significantly to U.S. GDP over the next decade, with a particularly strong focus on accelerating AI integration in India, projected to significantly boost the nation’s GDP by 2025.

As part of this strategic initiative, Cognizant has invested in over 25,000 Microsoft 365 Copilot seats and additional specialized seats for its associates, aiming to enhance productivity and customer experiences across its operations. The firm is also committed to deploying these technologies to a broader client base, targeting a million users across its global clientele and various industry sectors.

Ravi Kumar S, CEO of Cognizant, expressed the transformative potential of generative AI for various business sectors and announced a substantial investment of $1 billion in this technology over the next three years. Similarly, Judson Althoff of Microsoft highlighted the combined capabilities of both firms to foster broader AI adoption through their joint expertise.

The partnership not only focuses on business and operational enhancements but also extends to specific industry solutions like healthcare, where generative AI is poised to revolutionize emergency care, potentially automating up to one-third of tasks and significantly improving service quality and patient outcomes.

The collaboration extends to developing custom solutions in sectors such as retail, financial services, life sciences, manufacturing, and media, among others. These initiatives include leveraging AI for tasks ranging from translation and localization of media content to improving remote diagnostics in manufacturing.

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