AI-enhanced data analysis involves using machine learning, deep learning, and other AI techniques to process and analyze large datasets more efficiently and accurately. In the context of nanotechnology, this means applying AI algorithms to interpret data from experiments, simulations, and other sources to uncover patterns, trends, and insights that are not easily discernible through traditional methods.