The emphasis on fast flash technology concentrates much attention on hot, frequently accessed data. 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.

IT Infrastructure needs are constantly fluctuating in a world where powerful emerging software applications such as artificial intelligence can create, transform, and remodel markets in a few months or even weeks. While the public cloud is a flexible solution, it doesn’t solve every data center need—especially when businesses need to physically control their data on premises. This leads to overspend— purchasing servers and equipment to meet peak demand at all times. The result? Expensive equipment sitting idle during non-peak times.

For years, companies have wrestled with overspend and underutilization of equipment, but now businesses can reduce cap-ex and rein in operational expenditures for underused hardware with software-defined composable infrastructure. With a true composable infrastructure solution, businesses realize optimal performance of IT resources while improving business agility. In addition, composable infrastructure allows organizations to take better advantage of the most data-intensive applications on existing hardware while preparing for future, disaggregated growth.

Download this report to see how composable infrastructure helps you deploy faster, effectively utilize existing hardware, rein in capital expenses, and more.