Some argue that privacy and AI concerns are pushing businesses to move workloads back on-prem, but the reality is a bit more complex. Many large organisations see AI growth as a key driver of increased cloud spending, not repatriation. The fear that cloud-based AI tools will scoop up sensitive data doesn’t seem to resonate with CIOs at the enterprise level.
These enterprises are investing heavily in AI within the cloud. They know the risks and benefits, and they’re choosing to continue their digital transformation. So, while privacy concerns may arise, they’re not a significant factor in repatriation for most companies.
Latency, performance, and hybrid cloud
Latency is often cited as a reason for bringing workloads back on-prem, especially for specific applications like databases that require sub-millisecond performance. However, hybrid cloud solutions offer the best of both worlds—allowing businesses to keep latency-sensitive workloads on-prem while utilising the scalability and flexibility of the cloud for everything else.
Ryan explains: “We’ve seen cases where businesses needed super low-latency environments, but Azure can still accommodate that by setting up the right infrastructure, like ExpressRoute, to reduce latency issues.”
While Azure is more friendly towards latency-sensitive apps than people might expect, hybrid solutions are particularly appealing to businesses that need that cloud agility without compromising on performance.