The technology most often used for automated data analysis is machine learning. Machine learning algorithms can identify patterns, classify data, and make predictions by systematically analyzing large datasets. Popular libraries, such as Pandas and TensorFlow, facilitate the application of machine learning for data insights. Additionally, data visualization tools like Tableau and Power BI enhance the analysis by providing graphical representations of data, making it easier to extract actionable insights.