Autonomous Transaction Processing refers to the use of advanced technologies, such as artificial intelligence and machine learning, to automate the management of transactions in databases. This system minimizes human intervention, allowing for faster and more efficient processing of data. It can automatically handle tasks like data validation, error correction, and resource allocation, ensuring that transactions are completed accurately and promptly. By leveraging cloud computing and self-learning algorithms, Autonomous Transaction Processing enhances operational efficiency and reduces costs. Organizations can benefit from improved scalability and reliability, as the system can adapt to varying workloads and maintain performance without manual oversight.