Unlock Compliance: Harnessing Document AI for Unstructured Data
Blog post from Didit
Compliance teams worldwide are facing increasing challenges due to the proliferation of unstructured data, such as scanned documents, emails, and handwritten notes, which complicate regulatory compliance efforts. Unstructured data, which makes up 80-90% of organizational data, demands advanced solutions like document AI to automate the extraction of meaningful information, thus mitigating compliance risks. Document AI, powered by technologies like OCR, NLP, and machine learning, transforms this data into a structured format, crucial for adherence to regulations like GDPR and CCPA. Building a compliant data engineering pipeline involves data ingestion, preprocessing, extraction, validation, transformation, storage, and continuous monitoring while ensuring data privacy and security through access controls, encryption, and regular audits. Didit provides a platform that automates unstructured data processing with high accuracy, scalability, and security, helping organizations streamline compliance operations and reduce manual efforts.
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