{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Low Down on Low-Code","title":"Data Management in the Context of AI ","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/f69ac320\"></iframe>","width":"100%","height":180,"duration":1404,"description":"In this episode, John Rymer and Rick Greenwald explore the complexities of data copying versus accessing data in place, focusing on performance, freshness, correctness, and consistency. They discuss how these factors impact data management strategies, especially in the context of AI and modern data access challenges.Key TopicsData copying vs in-place accessPerformance implications of data accessData freshness and latencyData correctness and consistencyDistributed data challengesData governance and compliance","thumbnail_url":"https://img.transistorcdn.com/bxFjDudHZxWaYrd-K7RUewyX1s54chL4YCT94Y5XfcE/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQ5OTE5LzE3MTA0/NDA5MzEtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}