Data Exploration

Data exploration focuses on efficiently discovering relevant information within massive and complex datasets, aiming to improve data accessibility and analysis. Current research emphasizes automated methods for identifying relationships between datasets, leveraging techniques like graph neural networks and large language models to analyze both structured and unstructured data, including tabular data and text. These advancements are improving data discovery in diverse fields, from optimizing industrial processes to facilitating public health analysis through enhanced data lake navigation and natural language interfaces.