{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"StoneCast","title":"Building AI/ML Data Lakes: Why S3 Object Storage Outperforms Traditional Storage","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/9641477a\"></iframe>","width":"100%","height":180,"duration":1185,"description":"AI and machine learning (ML) demand massive amounts of data, seamless scalability, and high-speed access—which is why traditional storage solutions often fall short. S3 object storage is rapidly becoming the go-to solution for AI/ML data lakes, enabling organizations to handle vast datasets efficiently and cost-effectively.In this episode, we explore: 🔹 Why AI/ML workloads require scalable object storage 🔹 How S3 storage optimizes data ingestion, training, and inference 🔹 The benefits of automated tiering, immutability, and high availability 🔹 How organizations leverage S3 for AI-driven insights and real-time analytics 🔹 Best practices for securing and managing AI/ML data lakesWith data volumes exploding, AI-driven enterprises must rethink storage. Join us to discover how S3 object storage enhances AI/ML performance, lowers costs, and streamlines workflows.","thumbnail_url":"https://img.transistorcdn.com/66IHuLVYTChRcOAquhFWbJHNtjiYiS_t3L-tirraqtM/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83Y2E4/NTM1NWExM2U0ZDNj/ZjY4YzZmYjRhYjg2/NDkwOC5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}