{"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.\nKey Topics\nData copying vs in-place access\nPerformance implications of data access\nData freshness and latency\nData correctness and consistency\nDistributed data challenges\nData 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}