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AI and analytics are driving a new kind of storage

Until modern analytics and machine learning applications appeared, big data wasn’t really all that big — but now storage solutions must scale capacity and performance like never before. Applications such as autonomous driving, log analysis and travel booking are driving massive need for storage as AI applications detect anomalies and support business intelligence

Brad King, co-founder and CTO of Scality, recently sat down with Stephen Foskett (GestaltIT) and Chris Grundemann (GigaOm, Myriad360) to discuss this new demand for scalable storage by AI applications

Tune into this episode of Utilizing AI: The Enterprise AI podcast to learn:

  • How Scality tuned its system to handle the massive scale of data supporting these applications, with up to a petabyte of log data being added and deleted in a single day
  • How AI-driven tools are enabling customers to do what they never could do before
    (Pro tip: A balanced infrastructure stack is required to make it possible.)
  • Top recommendations for finding a system that scales with your needs and has API-driven data access

About Utilizing AI: The Enterprise AI podcast

AI is getting real, moving out of academia and hyperscale and into the enterprise. Businesses are strategically adopting AI, and IT companies are deploying AI technologies in their products. Utilizing AI: The Enterprise AI podcast focuses on practical applications of artificial intelligence and machine learning in the modern enterprise datacenter and cloud infrastructure.

About Us

Solved is a digital magazine exploring the latest innovations in Cloud Data Management and other topics related to Scality.

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