Augmented Data Management is a process of utilizing machine learning and artificial intelligence techniques to automate and enhance data management tasks. It involves the use of automated algorithms and analytics tools to optimize data quality, governance, integration, and performance, among others.


One of the key benefits of augmented data management is that it helps organizations to streamline their data management processes by reducing the need for manual intervention. This can result in significant cost savings, as well as increased efficiency and accuracy in data management activities.


Another advantage of augmented data management is that it can help organizations to make more informed decisions by providing real-time insights into their data. This is achieved through the use of advanced analytics and visualization tools that can identify patterns, trends, and anomalies in data sets.


Overall, augmented data management is an essential component of modern data-driven organizations. By automating and optimizing data management tasks, organizations can improve their overall productivity, decision-making, and competitive advantage.