EDA for the AI era
In the data-driven world we live in, Exploratory Data Analysis (EDA) has long been a cornerstone of every data science project. It’s the phase where we familiarize ourselves with the dataset, discover patterns, spot anomalies, test assumptions, and lay the groundwork for predictive modeling. However, as we enter the AI era—defined by rapid advances in deep learning, generative AI, and automated machine learning (AutoML)—EDA itself is undergoing a transformation. The principles remain, but the tools, techniques, and goals are shifting.