Data quality is the backbone of effective AI implementation, yet errors, biases, and inconsistencies in datasets often go unnoticed until they derail key projects. In this Data Science Connect enterprise roundtable, panelists share actionable insights into recognizing hidden pitfalls, establishing robust data governance frameworks, and ensuring your AI initiatives yield impactful results.