Your financial services customers are moving fast on AI, but the 8th Annual Nutanix Enterprise Cloud Index shows their ambition is outpacing their readiness.
These are the key issues you need to be addressing for your customer base:
Shadow AI is already in production
The report’s findings show that employees aren't waiting for IT sign-off:
- 66% of FinServ IT executives encounter AI tools deployed outside of IT.
- 86% say this creates genuine business risk.
The cause is organisational silos and official channels that are too slow for pressured teams. In a regulated sector, that's exposure your customers can't ignore.
Container complexity is the real challenge
Containers are becoming the backbone of AI workloads, with around 90% of institutions expecting containerisation to grow. Yet few run clean, container-native setups or have the architecture that can sustain them.
Instead, they have:
- Containers layered on virtual machines (VMs)
- Workloads spanning on-premises and cloud
- A growing edge footprint
As a partner, this opens the door to higher-value conversations around simplification, showing customers how Nutanix Cloud Platform can unify operations across environments and support VMs and containers from a single platform.
Navigating sovereignty debt
Most institutions plan to run multiple AI applications within three years, but many readily admit their on-premises infrastructure isn't ready.
This gap is driving a reliance on public cloud for speed and creating sovereignty debt: a compliance liability that must eventually be repaid by migrating workloads back on-premises or to private cloud.
Read the full report for more strategic insights into the barriers holding back AI at scale for your Finserv customers.
