AutoML, or Automated Machine Learning, is a technology that simplifies the process of building machine learning models. It allows users, even those without extensive programming skills, to create models by automating tasks like data preprocessing, feature selection, and model selection. This makes machine learning more accessible to a broader audience. By using AutoML, organizations can save time and resources while still achieving high-quality results. It leverages algorithms to optimize the model-building process, enabling faster experimentation and deployment. As a result, businesses can focus on deriving insights from their data rather than getting bogged down in technical details.