Regulatory compliance is changing the landscape for model risk management

Regulatory compliance is changing the landscape for model risk management

The inexorable advance of new technologies, artificial intelligence (AI), machine learning (ML), big data, and cloud computing are transforming financial institutions and markets. Machine learning, in particular, is rapidly gaining traction in the world of model risk management, where the increased number of models to be managed, requires consolidation of effort across the entire model landscape. Despite infrastructure challenges and reservations as to the transparency of algorithms, these technologies are being used for model risk management to alleviate the overhead of regulatory compliance. To know more, download the eBook.

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Insights Solutions

The inexorable advance of new technologies, artificial intelligence (AI), machine learning (ML), big data, and cloud computing are transforming financial institutions and markets. Machine learning, in particular, is rapidly gaining traction in the world of model risk management, where the increased number of models to be managed, requires consolidation of effort across the entire model landscape. Despite infrastructure challenges and reservations as to the transparency of algorithms, these technologies are being used for model risk management to alleviate the overhead of regulatory compliance. To know more, download the eBook.

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