en learn document-automation 
AWS Machine Learning
NOVEMBER 3, 2022
In Part 1 of this series, we discussed intelligent document processing (IDP), and how IDP can accelerate claims processing use cases in the insurance industry. We discussed how we can use AWS AI services to accurately categorize claims documents along with supporting documents. Part 1: Classification and extraction of documents.
AWS Machine Learning
JULY 3, 2023
Companies across various industries create, scan, and store large volumes of PDF documents. To address this, you need an automated solution to extract the contents within these PDFs and translate them quickly and cost-efficiently. If the translated document doesn’t retain the original formatting and structure, it loses its context.
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AWS Machine Learning
FEBRUARY 20, 2024
Through automation, ZOO Digital aims to achieve localization in under 30 minutes. In this post, we discuss deploying scalable machine learning (ML) models for diarizing media content using Amazon SageMaker , with a focus on the WhisperX model. With manual methods, a 30-minute episode can take between 1–3 hours to localize.
AWS Machine Learning
AUGUST 15, 2022
Amazon’s intelligent document processing (IDP) helps you speed up your business decision cycles and reduce costs. Across multiple industries, customers need to process millions of documents per year in the course of their business. The following figure shows the stages that are typically part of an IDP workflow.
AWS Machine Learning
AUGUST 25, 2022
Advancements in machine learning (ML) and natural language processing (NLP) have made this task much easier and less expensive. We have seen increased adoption of ML for multi-lingual data and document processing workloads. Any corrections are used to update the translated document and also added to a customization dictionary.
Nicereply
SEPTEMBER 17, 2020
Truly, some arguments could be made in support of automation in customer management. For instance, CSMs have to rely on automation for greater coverage. Automation is the only means to reach out to customers en masse concerning new features, weekly reports, or upcoming events. Customer support depends on machines solely.
AWS Machine Learning
MARCH 28, 2024
These generative AI applications are not only used to automate existing business processes, but also have the ability to transform the experience for customers using these applications. The following diagram illustrates the architecture of this solution. We walk through constructing a RAG pipeline on SageMaker with Mixtral-8x7B.
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