How Banks Can Manage Privacy Pitfalls When Exploring Generative AI

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How Banks Can Manage Privacy Pitfalls When Exploring Generative AI
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Co-founder and CEO, Kasisto. Read Zor Gorelov's full executive profile here.

and exploring ways to apply this revolutionary technology to seemingly every facet of their businesses, from customer service to document processing, external marketing and more.

With private AI, though, a bank’s enterprise data is only used for training and application within that financial institution—providing higher security, control and accuracy. This approach can help to ensure that a financial institution knows the provenance of the data being used to train and tune the LLM, whereas public LLMs typically don’t disclose the data sources used to train the model and how the data is used.While there are clearly benefits for using private AI, banks still face hurdles when it comes to the implementation within their organizations.

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