"But if you dig deeper into how businesses in this industry are actually approaching AI deployments - if you ask questions like how they are governing their data, how they are ensuring data quality, and how easily are they connecting AI tools directly to data platforms - you'll soon realize that claims about AI adoption in financial services don't always align with reality."
"Financial services businesses recognize the tremendous value that AI technology has to offer by boosting their efficiency, accelerating processes, and helping them scale operations. According to the Indicium survey, 66.7% of financial services businesses currently have AI-driven solutions in production, and another 31.5% have deployed AI pilot projects or experiments. Not a single company reported having no plans at present to adopt AI."
A majority of financial services firms report AI use, with 66.7% having AI-driven solutions in production and 31.5% running pilots or experiments. AI is applied to fraud detection, decision-making, and back-office process automation. Significant gaps remain in operational readiness, especially around data governance, data quality, and direct connectivity between AI tools and core data platforms. Survey results show 40% of respondents indicated their AI initiatives are only "partially integrated," revealing that stated adoption often outpaces actual integration and data-management practices required for scalable, reliable AI.
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