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Robotic Process Automation (RPA) RPA can automate repetitive, rule-based tasks, such as dataentry, billing, and customer information updates. They can answer frequently asked questions (FAQs) about loan applications and recovery processes.
Data Extraction from Loan Applications The auto loan application process, often involves the submission of extensive documentation by applicants, including reams of documents containing personal information, bank details, insurance information, employment details, income statements, and vehicle specifications. All with our pre-training.
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.
Accuracy at Scale – Building a Foundation for Informed Decisions Human error is an inevitable part of manual processes and dataentry. IDP eliminates this risk factor by extracting data with exceptional accuracy using advanced algorithms and AI.
Think dataentry, form filling, and basic calculations—tasks that follow a clear set of instructions. Reduced Errors : Minimizes human error by eliminating manual dataentry. IDP Pros: Intelligent Automation : Leverages ML and NLP to understand document context, extracting meaningful data with high accuracy.
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. UnstructuredData : Free-text doctors notes are hard to analyze.
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