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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.

Self-supervised learning
Self-supervised learning is a machine learning approach where models learn patterns and features from unlabeled data without requiring human-labeled annotations. It is commonly used in natural language processing, computer vision, and representation learning to improve AI efficiency.
Computer Audition
Computer audition is the field of artificial intelligence that enables machines to analyze and interpret audio signals, including speech, music, and environmental sounds. It is used in applications such as speech recognition, music recommendation, acoustic event detection, and audio forensics. By leveraging deep learning and signal processing, computer audition enhances human-computer interaction and automation in audio-related tasks.
Data breach
A data breach is a security incident where unauthorized individuals gain access to confidential or personal data. Breaches can result from cyberattacks, human errors, or system vulnerabilities, leading to financial losses, reputational damage, and regulatory penalties under data protection laws such as GDPR and CCPA.