Remove Data Classification Remove Document Remove Natural Language Processing
article thumbnail

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.

AWS 120
article thumbnail

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.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Generate training data and cost-effectively train categorical models with Amazon Bedrock

AWS Machine Learning Blog

For a multiclass classification problem such as support case root cause categorization, this challenge compounds many fold. Lets say the task at hand is to predict the root cause categories (Customer Education, Feature Request, Software Defect, Documentation Improvement, Security Awareness, and Billing Inquiry) for customer support cases.

AWS 111
article thumbnail

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.

AWS 103
article thumbnail

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. Insurance companies are burdened with increasing numbers of claims that they must process.

AWS 125
article thumbnail

Build well-architected IDP solutions with a custom lens – Part 6: Sustainability

AWS Machine Learning Blog

An intelligent document processing (IDP) project typically combines optical character recognition (OCR) and natural language processing (NLP) to automatically read and understand documents. Use the right technology to store data For IDP workflows, most of the data is likely to be documents.

AWS 116
article thumbnail

MLCoPilot: Empowering Large Language Models with Human Intelligence for ML Problem Solving

Towards AI

When given a query like “classify brain tumor,” the vector database can search for documents or phrases that have similar meanings to the query. It achieves this by comparing the vector representation of the query with the vectors of the stored documents, which encompass past experiences and accumulated knowledge.

ML 96