“GETTING DATA INTO A PLACE WHERE YOU CAN MAKE A HIGH- QUALITY DATA SET IS IMPORTANT FOR MODEL ACCURACY ”
MALCOLM DEMAYO VP OF GLOBAL FINANCIAL SERVICES , NVIDIA or latency – if any of these are true , banks will want to leverage an AI Factory that can live anywhere . “ It really requires a firm to have a platform to build models and inference models that ’ s available anywhere in any cloud , on-premise or in colocation ( colo ),” says Malcolm .
The regulatory angle The final challenge for banks is arguably the most challenging – it ’ s the one area they have the least control over – regulations .
Of course , financial firms have been integrating new technologies for years and have developed robust lines of defence to ensure any new implementation is fully compliant .
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