Even in a technology-driven organization like Cognizant… AI

This week in the Knowledge Management Global Network (KMGN) course ״From Strategy to Impact״, we explored a compelling case study of Cognizant’s AI transformation, led by Sharmistha Mukherjee.

A few insights stood out.
First, scale is not achieved by tools — but by systematic enablement.
Training ~230K employees, running massive hackathons, and generating tens of thousands of ideas are not side activities. They are the engine of adoption. Transformation here is designed as a participation movement, not a rollout.

Second, KM is deeply embedded in the AI transformation.
Through integrated platforms, AI assistants, and curated asset marketplaces, knowledge is not only stored but actively contextualized and delivered to different roles at the moment of need.

Third, reuse is engineered, not hoped for.
From structured accelerator lifecycles to AI-driven recommendations and ROI tracking, reuse is built into the system with governance, incentives, and visibility.

Even in a technology-driven organization like Cognizant,
AI transformation is treated as a knowledge transformation at scale, supported by continuous change management, not as a technology initiative.

Because in the end, organizations do not transform when AI is available.
They transform when knowledge, people, and systems start working differently — together ✨