Avoiding the Pitfalls of Cloud Storage and AI apps
Introduction
In the ever-evolving landscape of advanced technologies like AI, IoT, and other edge services, the storage requirements differ significantly from traditional cloud storage use cases, such as backup and archive. One of the primary challenges lies in unraveling the hidden costs associated with storing data generated by these applications, often deviating from the expectations of most IT teams.
While organizations may have a fair idea of how much data they’ll generate, the unpredictability of egress needs, the number of “operations” used, and the impact of data file sizes pose uncertainties. Moreover, cloud storage providers often introduce additional unpredictable fees, rendering cost projections nearly impossible.
This session delves into the obstacles faced by many organizations as they strive to future-proof their data storage in light of the growing popularity of new hybrid, edge, and AI use cases. Join David Boland and Lily McIntyre from Wasabi for an exclusive speaking session at Cloud Expo Asia.
Key Discussion Points:
– Unveiling the lesser-known factors that drive up costs in cloud storage.
– Understanding how organizations can find themselves unexpectedly “locked-in” and exploring potential solutions.
– Examining how the new generation of cloud object storage addresses the challenges associated with managing explosive data growth.
– Discovering why best-of-breed cloud services are steering the industry toward “multi-cloud” adoption.
Speakers:
– David Boland, VP, Cloud Strategy, Wasabi
– Lily McIntyre, Digital Content Specialist, Wasabi