The goal of this article is to provide a proactive framework that enables tech leaders and business owners to understand when to utilize AI and when not to.

One of the most significant risks of poor data quality is bias. If an AI model is trained on incomplete, inconsistent or skewed data, it will replicate and even amplify those biases.