AI, IoT, and other advanced edge services have different storage needs than traditional cloud storage use cases like backup and archive. One of the chief challenges is understanding where the hidden costs are for storing data created by these applications. It’s a lot different than most IT teams expect. Organizations may be able to predict how much data will be created, but they have no idea how much egress they’re going to need, how many “operations” they are going to use, or the impact of data file size. Additional unpredictable fees from many cloud storage providers make forecasting costs next to impossible.

This session explores the challenges that many organizations face in future-proofing their data storage as new hybrid, edge, and AI use-cases are increasing in popularity.

We will discuss:

• The little understood charges that drive up cloud storage costs
• How organizations can find themselves unexpectedly “locked-in”, and what can be done about it
• How the new generation of cloud object storage addresses the challenges of managing explosive growth in data
• Why best-of-breed cloud services are driving the trend toward “multi-cloud”