Companies often struggle with the misconception that implementing AI is as simple as pushing a button, especially in regulated industries where consistency is crucial. The quality of AI outputs heavily relies on the quality of input data, making robust data management practices essential for successful integration. Many organizations lack the necessary data policies, hindering their ability to fully leverage AI capabilities.
