Tag: Amazon Comprehend
Cost-effective document classification using the Amazon Titan Multimodal Embeddings Model | Amazon Web Services
Organizations across industries want to categorize and extract insights from high volumes of documents of different formats. Manually processing these documents to classify and...
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Use mobility data to derive insights using Amazon SageMaker geospatial capabilities | Amazon Web Services
Geospatial data is data about specific locations on the earth’s surface. It can represent a geographical area as a whole or it can represent...
Automate PDF pre-labeling for Amazon Comprehend | Amazon Web Services
Amazon Comprehend is a natural-language processing (NLP) service that provides pre-trained and custom APIs to derive insights from textual data. Amazon Comprehend customers can...
Use custom metadata created by Amazon Comprehend to intelligently process insurance claims using Amazon Kendra | Amazon Web Services
Structured data, defined as data following a fixed pattern such as information stored in columns within databases, and unstructured data, which lacks a specific...
Easily build semantic image search using Amazon Titan | Amazon Web Services
Digital publishers are continuously looking for ways to streamline and automate their media workflows to generate and publish new content as rapidly as they...
Announcing new tools and capabilities to enable responsible AI innovation | Amazon Web Services
The rapid growth of generative AI brings promising new innovation, and at the same time raises new challenges. These challenges include some that were...
Simplify data prep for generative AI with Amazon SageMaker Data Wrangler | Amazon Web Services
Generative artificial intelligence (generative AI) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. However, these models require massive amounts...
Build well-architected IDP solutions with a custom lens – Part 1: Operational excellence | Amazon Web Services
The IDP Well-Architected Lens is intended for all AWS customers who use AWS to run intelligent document processing (IDP) solutions and are searching for...
Build well-architected IDP solutions with a custom lens – Part 2: Security | Amazon Web Services
Building a production-ready solution in AWS involves a series of trade-offs between resources, time, customer expectation, and business outcome. The AWS Well-Architected Framework helps...
Build well-architected IDP solutions with a custom lens – Part 3: Reliability | Amazon Web Services
The IDP Well-Architected Custom Lens is intended for all AWS customers who use AWS to run intelligent document processing (IDP) solutions and are searching...
Build well-architected IDP solutions with a custom lens – Part 5: Cost optimization | Amazon Web Services
Building a production-ready solution in the cloud involves a series of trade-off between resources, time, customer expectation, and business outcome. The AWS Well-Architected Framework...
Build well-architected IDP solutions with a custom lens – Part 6: Sustainability | Amazon Web Services
An intelligent document processing (IDP) project typically combines optical character recognition (OCR) and natural language processing (NLP) to automatically read and understand documents. Customers...
Flag harmful content using Amazon Comprehend toxicity detection | Amazon Web Services
Online communities are driving user engagement across industries like gaming, social media, ecommerce, dating, and e-learning. Members of these online communities trust platform owners...
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