This book published by O'Reilly focuses on advancements in generating high-quality synthetic data. The technology offers a solution for companies in need of extensive datasets to train AI and machine learning models. The book includes a comprehensive overview of synthetic data generation and showcases the technology’s business value, different use cases, practical techniques, and best practices. Through case studies from healthcare, financial services, manufacturing, and transportation, it illustrates how synthetic data accelerates machine learning projects and addresses privacy challenges. The publication envisages widespread adoption and lays the groundwork for understanding and implementing synthetic data in various practical contexts.