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How Reveal’s Logikcull used Amazon Comprehend to detect and redact PII from legal documents at scale

AWS Machine Learning Blog

Organizations can search for PII using methods such as keyword searches, pattern matching, data loss prevention tools, machine learning (ML), metadata analysis, data classification software, optical character recognition (OCR), document fingerprinting, and encryption.

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Data Classification: Overview, Types, and Examples

Pickl AI

Summary: Feeling overwhelmed by your data? Data classification is the key to organization and security. This blog explores what data classification is, its benefits, and different approaches to categorize your information. Discover how to protect sensitive data, ensure compliance, and streamline data management.

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Enhancing AWS intelligent document processing with generative AI

AWS Machine Learning Blog

Data classification, extraction, and analysis can be challenging for organizations that deal with volumes of documents. Traditional document processing solutions are manual, expensive, error prone, and difficult to scale. FMs are transforming the way you can solve traditionally complex document processing workloads.

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It’s time to shelve unused data

Dataconomy

Data archiving is the systematic process of securely storing and preserving electronic data, including documents, images, videos, and other digital content, for long-term retention and easy retrieval. Lastly, data archiving allows organizations to preserve historical records and documents for future reference.

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Video security analysis for privileged access management using generative AI and Amazon Bedrock

AWS Machine Learning Blog

The type of security analysis performed against the transcripts will vary depending on factors like the data classification or criticality of the server the recording was taken from. For example, the use of shortcut keys like Ctrl + S to save a document cant be detected from an image of the console. Here are the two documents.

AWS 106
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Use custom metadata created by Amazon Comprehend to intelligently process insurance claims using Amazon Kendra

AWS Machine Learning Blog

For instance, according to International Data Corporation (IDC), the world’s data volume is expected to increase tenfold by 2025, with unstructured data accounting for a significant portion. The metadata generated can be customized during the ingestion process with Amazon Kendra Custom Document Enrichment (CDE) custom logic.

AWS 120
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How generative AI is transforming legal tech with AWS

AWS Machine Learning Blog

Legal professionals often spend a significant portion of their work searching through and analyzing large documents to draw insights, prepare arguments, create drafts, and compare documents. There are other components involved, such as knowledge bases, data stores, and document repositories.

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