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Home Technology Big Data, Analytics & Intelligence

Financial services leaders believe GenAI solutions help improve productivity, automation, and efficiency, study finds

FutureCIO Editors by FutureCIO Editors
October 6, 2025
Photo by maitree rimthong from Pexels: https://www.pexels.com/photo/person-putting-coin-in-a-piggy-bank-1602726/

Photo by maitree rimthong from Pexels: https://www.pexels.com/photo/person-putting-coin-in-a-piggy-bank-1602726/

The seventh annual global Financial Services Enterprise Cloud Index (ECI) survey and research report by Nutanix revealed that nearly all of the financial services organisations surveyed are currently leveraging GenAI applications.

Ho Chye Soon
Ho Chye Soon

Affirming the same trend echoing in Singapore, Ho Chye Soon, Singapore country manager at Nutanix, said: "In Singapore's financial sector, the GenAI conversation has moved beyond pilots to focus on scale, security, and enterprise readiness. Financial institutions are no longer asking if they should adopt AI—they're asking how to make it work seamlessly across the enterprise."

GenAI adoption 

Based on a global survey of 1,500 IT, DevOps, and platform engineering leaders, the report also revealed that almost all industry respondents report using some form of GenAI, but 97% said their organisations must do more to secure GenAI models and applications.

However, there is a consensus among most respondents(92%) that their current infrastructure requires significant improvement to fully support cloud-native applications and containers.

The majority (98%) cite facing challenges in scaling GenAI from development to production, due to talent shortage and integration issues.

The report also showed thatfinancial services leaders acknowledge that, although theReturn on Investment (ROI) on GenAI investments is a priority, gains won't come quickly: 39% anticipate potential GenAI-related losses in the next 12 months, while 58% expect gains within one to three years.

Ninety-six per cent of respondents say GenAI is reshaping their data security and privacy priorities, while 90% are concerned about data security in the broader IT vendor ecosystem.

Related:  How insurers can monetise data and analytics
Tags: Artificial Intelligencecybersecuritydata securitydigital transformationNutanix
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