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What is Document Processing?

Document processing involves extracting, analyzing, and managing data from structured and unstructured documents. It uses technologies like optical character recognition (OCR), natural language processing (NLP), and AI-driven automation to classify, store, and retrieve information efficiently. Document processing is essential in industries such as finance, healthcare, and legal services for automating workflows and improving operational efficiency.

Structured Data
Structured data is highly organized information stored in databases, typically in rows and columns, making it easily searchable and analyzable. It includes financial records, customer databases, and inventory management systems.
Transfer Learning
Transfer learning refers to a machine learning technique where a pre-trained model is adapted for a different but related task. It accelerates AI model training and improves performance with limited data.
SQL
SQL refers to Structured Query Language, a programming language used for managing and querying relational databases. It is fundamental in database management, data analytics, and enterprise applications.

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