In the realm where artificial intelligence (AI), cloud computing, and data management converge, a host of challenges and promises are reshaping the landscape of modern businesses. Central to these discussions is the critical importance of data quality. Experts unanimously agree that a robust data governance framework is fundamental, ensuring that valuable insights for decision-making are derived from accurate and well-curated data. Yet, amidst the rise of AI, human supervision remains indispensable, as automated models should not entirely replace the understanding and intuition that human analysts bring to the table when facing complex business decisions.
