MILAN (Reuters) – Intesa Sanpaolo, Italy’s largest bank, announced on Tuesday that it has deployed an artificial intelligence tool designed to browse thousands of publications on banking supervision.
Called Lisa or Linguistic Intelligence for Supervisory Recognition, this machine learning tool uses language processing algorithms to scan documents for correlations and semantic patterns to help predict future trends.
Intesa said Lisa can read text much faster than humans and can identify correlations that aren’t immediately obvious, citing the link between climate change and credit risk as an example that wasn’t obvious until a few years ago. rice field.
Intesa has a dedicated team that worked with Lisa not only to validate its findings, but also to raise awareness of banking regulatory issues.
“Banking supervision is an area of really large and exponential content production and information overload,” said Walter Chiaradonna, head of supervisory strategy and operations at Intesa. rice field.
“Practices, interviews, statements, texts and in-depth studies are creating an explosion of information that cannot be managed without proper support,” Chiaradonna enumerated.
According to Intesa, the European Central Bank will also use artificial intelligence tools (SupTech) to collect the minutes of its governing bodies and thousands of datasets and documents required from more than 100 large banks directly supervised by the ECB. It is said that it is useful for sorting out information such as
(Reporting: Valentina Za; Editing: Keith Weir)
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