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The digitization of the financial services sector has generated vast amounts of unstructureddata in the form of documents, either PDF or images, and volumes of data that can hold valuable insights for businesses, and help make better decisions. However, extracting meaningful information from this data has been a challenge.
Failure to comply with regulations can lead to significant fines, legal issues, or damage to the institution’s reputation. Robotic Process Automation (RPA) RPA can automate repetitive, rule-based tasks, such as dataentry, billing, and customer information updates.
It uses AI capabilities like NLP and machine learning to analyze, categorize, and interpret vast amounts of text-based healthcare data. Named Entity Recognition: Extracts key medical terms, symptoms, drug names, and diseases from unstructureddata. Automates compliance monitoring to prevent legal risks.
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