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Cognizant, a $37 billion company, is undergoing a significant cultural shift driven by the integration of artificial intelligence (AI) into its operations. Ganesh Ayyar, president of Cognizant’s intuitive operations and automation, highlighted that the company is moving away from a hierarchical structure to foster a more experimental and failure-tolerant culture. This transformation is aimed at accelerating the adoption of advanced technologies and empowering the company's workforce of around 360,000 employees.
Ayyar emphasized that the shift from a "human-led and human-powered" model to a "human-led and AI-powered" model is not without its challenges. The implementation of AI has raised concerns among employees about job security and the unknown impacts of the technology. However, Ayyar believes that embracing AI requires a culture that encourages experimentation and accepts failure as a natural part of the process. He stressed the importance of celebrating "responsible failures" internally, as they provide valuable learning opportunities.
Overcoming the fear and uncertainty surrounding AI is a critical step in its successful integration. Ayyar acknowledged his own initial fears about the technology but noted that exposure to diverse perspectives has helped him overcome these anxieties. He advocated for a collaborative approach, where senior leadership, employees, and customers all contribute to the development and implementation of AI strategies. This inclusive methodology aims to co-opt stakeholders rather than dictate actions from the top down.
By fostering a culture that embraces experimentation and accepts failure, Cognizant aims to create an environment where innovation can thrive. This cultural shift is expected to accelerate the adoption of AI and other advanced technologies, ultimately driving the company's growth and competitiveness in the rapidly evolving tech landscape. Ayyar's vision for Cognizant is one where the organization is not only powered by advanced technology but also driven by a culture that values learning, experimentation, and continuous improvement.

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