Generative artificial intelligence (Genai) has established itself as one of the technological priorities of banking and financial services. This is shown by the last Enterprise Cloud Index (ECI) Prepared by Nutanix, which reveals how most of these organizations already work with Genai -based applications, especially in areas such as customer service, content generation or process automation.
However, the report warns that this rapid adoption is not exempt from risks. The lack of specialized profiles and the difficulty in integrating Genai with the current technological infrastructure are braking the scalability of the projects. In addition, data security and protection of AI models appear as the main concerns: 97% of entities acknowledge that they should reinforce their measures in this area.
“The hybrid cloud and containers are strategic levers”
The analysis also shows that 92% of the companies in the financial sector consider necessary a modernization of their infrastructure to give real support to native cloud applications and the deployment of containers. In spite of this, most are already experiencing with kubernettes and other technologies to withstand workloads linked to Genai.
The financial sector accelerates the adoption of Genai according to a Nutanix study
“Financial service organizations are resorting to containers and the hybrid cloud not only as technological updates, but as strategic value facilitators for the client,” explains Lee Caswell, SVP of Product and Solutions Marketing in Nutanix. According to the manager, “these technologies are generating a return of quantifiable investment, promoting Genai applications that improve fraud detection, reinforce cybersecurity and ensure customer commitment.”
Obstacles: Talent and ROI in the long term
The shortage of qualified professionals in AI and Genai is another of the central challenges. 98% of companies say they have difficulties to carry their projects from the laboratory to production, and although 62% are already hiring specialized personnel, internal training remains a priority.
In parallel, the return of investment (ROI) is not yet perceived immediately. Only 58% of respondents expect benefits in one to three years, while 39% assume possible short -term losses. The majority, however, maintains a long -term vision to measure Genai’s impact on the operational efficiency and innovation of the sector.
Security and compliance at the center of the debate
Another key aspect is regulatory compliance. 96% of respondents say that Genai is redefining their data security and privacy strategy. To this is added the concern for external suppliers: nine out of ten financial entities fear the risks associated with the broader ecosystem of you that surround their AI operations.
The study, conducted by Vanson Bourne in autumn of 2024, includes the vision of 1,500 responsible for IT and devotee worldwide, and places the financial industry as one of the most advanced in the incorporation of generative artificial intelligence, but also as one of the most exposed to its challenges.
