{"id":363076,"date":"2025-11-12T09:39:21","date_gmt":"2025-11-12T04:09:21","guid":{"rendered":"https:\/\/www.technologyforyou.org\/?p=363076"},"modified":"2025-11-12T09:39:21","modified_gmt":"2025-11-12T04:09:21","slug":"finextra-and-cloudera-report-reveals-hybrid-ai-is-the-new-standard-in-financial-services-with-91-citing-it-as-highly-valuable","status":"publish","type":"post","link":"https:\/\/www.technologyforyou.org\/finextra-and-cloudera-report-reveals-hybrid-ai-is-the-new-standard-in-financial-services-with-91-citing-it-as-highly-valuable\/","title":{"rendered":"Finextra and Cloudera Report Reveals Hybrid AI is the New Standard in Financial Services, with 91% Citing It as Highly Valuable"},"content":{"rendered":"

Global study of financial executives finds a persistent \u201cimplementation gap\u201d as 97% of firms face data silos and rank data security as the top barrier to AI success<\/i><\/strong><\/p>\n

India \u2013 November 11, 2025<\/b>:\u00a0Cloudera, the only company bringing AI to data anywhere, today announced a new global report. The report, created in partnership with Finextra Research, is based on a survey of 155 executives and leaders across the globe. Findings\u00a0 reveal that hybrid AI deployment has become an essential strategy in the financial services industry, with an overwhelming 91% of organizations rating a hybrid approach as highly valuable. Additionally, while AI adoption is widespread, the study confirms that significant data and security barriers prevent firms from achieving full, enterprise-wide integration.<\/p>\n

The survey shows 62% of financial services organizations are now using a hybrid AI approach that includes public cloud, data centers, and edge environments to deploy AI wherever data resides. This model is considered critical for managing legacy systems, scaling efficiently, and handling the resource-intensive tasks of training and deploying AI models. The widespread adoption proves that a flexible, data-anywhere infrastructure is no longer an option, but a core requirement for competitive advantage.<\/p>\n

Bridging the AI Implementation Gap<\/strong><\/p>\n

Data security has emerged as the primary obstacle to bridging the\u00a0 AI implementation gap. Furthermore, 97% of financial services organizations report that data silos hinder their ability to build and deploy effective AI models. These challenges underscore that AI innovation can only succeed when built on a foundation of trusted, unified data governance and security.<\/p>\n

Despite high AI ambitions, many firms still struggle to unlock true transformational value. Nearly half of organizations (48%) have moved beyond initial AI experimentation,\u00a0 but have not yet fully integrated the technology into their core operations. This puts them at a disadvantage compared to the 26% of firms that have achieved full enterprise-wide AI adoption.<\/p>\n

\u201cThe report confirms that a data-anywhere, hybrid strategy is non-negotiable. It also highlights that infrastructure alone isn’t enough,\u201d said Adrien Chenallier, Global Director, AI Solutions for Financial Services at Cloudera.<\/strong> \u201cTo truly bridge the implementation gap, financial institutions need a unified data and AI platform that ensures consistent governance and security across all environments. This is the only way to build trust, manage risk, and accelerate AI adoption at scale.\u201d<\/p>\n

Key Findings<\/strong><\/p>\n