AIDM

A significant AI trust gap exists between optimistic leaders and hesitant employees, hindering adoption. Bridging this divide requires a human-centered strategy focused on shared understanding, employee involvement, confidence-building training, and sentiment measurement to cultivate a workplace where AI is trusted and used purposefully.

Many companies react to data issues only after they occur, leading to financial losses and reputational damage. This "firefighting" approach is costly and risky. Instead, businesses should adopt a proactive data governance framework. This involves implementing checks and balances, automated tools, and access controls to monitor data usage, access, and integrity.

Artificial Intelligence is no longer a futuristic concept , it’s already reshaping industries. But here’s the truth most businesses overlook: AI doesn’t just require technology. It requires readiness.