Leading with AI: Focus on People and Governance

Human-Centric AI Approach

To lead effectively with AI, companies should prioritize the human factor. This involves accounting for AI’s impact on jobs and aggressively investing in upskilling and reskilling employees. Cognizant’s philosophy emphasizes using AI to automate tasks within a “human in the loop” model, enabling employees to work smarter and focus on innovation.

Purposeful Governance

Purposeful governance is equally crucial. Organizations must avoid the pitfalls of “shadow IT” by ensuring that AI initiatives are centrally organized and aligned with enterprise objectives. Enterprise-level governance and transparency in AI-supported work are essential to maintain accountability and trust.

Data Quality and Security

Data quality and security form the backbone of effective AI. Leaders must ensure their data assets are centralized, augmented, and responsibly sourced to produce high-quality AI outputs. As AI regulations evolve, robust internal governance will not only ensure compliance but also serve as a competitive advantage.

In summary, to lead with AI, organizations must focus on people and governance. By investing in their workforce and implementing strong governance practices, businesses can drive AI-driven innovation while maintaining trust and ethical standards.

For more insights on leading with AI, visit Cognizant’s blog.