Transforming AI Agent Workflows with AWS Data Lake
existing data storage and processing systems struggled to manage and analyze the large volumes of data generated by their AI agents The growing size and complexity of the data led to delayed insights, hindering their ability to improve agent performance promptly Additionally, operational costs surged due to inefficiencies in their traditional infrastructure