Navigating Data Management in the AI Era

This chapter explores the intricacies of data management amidst the rise of AI technologies, focusing on the challenges faced by data producers and consumers. It highlights the role of autonomous data products and multi-agent systems in enhancing operational efficiency while maintaining context and quality. The discussion also addresses the evolution of data practices in response to generative AI advancements, emphasizing the necessity for a robust data architecture to meet modern demands.