However, budget pressures preclude consuming such premium-priced capacity when the access frequency diminishes. Yet many organizations do just that, unable to migrate effectively to lower cost secondary storage on a regular basis.

In this white paper, explore:

• How the relative proportion of hot, warm, and cooler data changes over time
• New machine learning (ML) techniques that sense the cooling temperature of data throughout its half-life
• The role of artificial intelligence (AI) in migrating data to the most cost-effective tier

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