Join Kieran Devlin from UC Today as he sits down with Chris Stapenhurst, Director of Product Management at Arctera. If you are navigating the complexities of modern compliance and data governance, this conversation highlights exactly why the “build it yourself” model is becoming obsolete.
As data volumes explode and regulations tighten ahead of 2027, the traditional on-premise data center is struggling to keep up. Chris Stapenhurst explains that AI is incredibly power-hungry – noting that large tech companies are even purchasing nuclear power stations to fuel data centers – and most firms simply cannot manage that level of hardware overhead on their own.
In this insightful discussion, Kieran and Chris break down the critical role of elasticity in the AI era. They discuss why “building for tomorrow” often leads to wasted budget on unused capacity, and how SaaS models offer a smarter alternative.
Key discussion points include:
- The Power of Elasticity: Understanding how cloud infrastructure allows organizations to “burst” up resources to meet immediate AI processing demands and shrink back down instantly, ensuring you only pay for what you use.
- Data Governance & Hygiene: How Arctera aggregates and normalizes content from disparate sources (whether on-prem or cloud) to create the clean, accessible data foundation required for accurate AI insights.
- Agility Through SaaS: The compliance advantage of a SaaS model, which delivers seamless quarterly updates to address new regulations without the costly downtime and IT resource drain associated with upgrading on-premise systems.
Next Steps:
Are your infrastructure and compliance strategies ready for the next wave of AI regulations? Visit the Arctera website to learn more about their cloud-native solutions.
