This podcast episode explores the evolution and challenges of data infrastructure in the era of generative AI. It highlights the importance of data diversity, quality, and freshness in creating leading AI models. The speakers emphasize the need for responsible stewardship of data, treating it with care and ensuring privacy and security. The episode also emphasizes the significance of storytelling, community, and open source collaboration in the field of data science. Furthermore, it discusses the advancements in AI for incident handling, building datasets over code, and the use of composable data management systems. The speakers also touch on the value of partnerships and the future potential of generative AI in the tech industry.