FinTech Magazine February 2025 | Page 23

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with specialised GPU hardware , allowing banks to process unstructured data from customer communications and transaction records internally , rather than relying on external cloud providers .
This infrastructure supports critical functions including automated credit decisioning and anti-money laundering detection , with built-in explainability features to meet regulatory requirements .
The timing is significant , as financial institutions transition from experimental AI implementations to production environments . NVIDIA ’ s vice president of global financial services , Malcolm deMayo , notes that 2024 will mark a shift toward practical AI deployment in banking operations .
The platform ’ s ability to combine secure , on-premises processing with advanced AI capabilities positions it as a potential catalyst for wider AI adoption in the banking sector .

“ Temenos now have real-time insights , that can identify areas for improvement , to deliver a more personalised and responsive customer experience ”

MALCOLM DEMAYO , VICE PRESIDENT OF GLOBAL FINANCIAL SERVICES , NVIDIA
NVIDIA
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