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Building AI/ML Data Lakes: Why S3 Object Storage Outperforms Traditional Storage

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Manage episode 474456504 series 3642513
Content provided by Stonefly. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stonefly or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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 lakes

With 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.

  continue reading

73 episodes

Artwork
iconShare
 
Manage episode 474456504 series 3642513
Content provided by Stonefly. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stonefly or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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 lakes

With 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.

  continue reading

73 episodes

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