Broadcast Date: June 22, 2021
Not all documents are the same, for example, insurance claims can have tables, forms, dense text, or free form text. Extracting the data on these documents can take many man hours, multiple workflows, and often times doesn’t sync with downstream systems. How do you pull all the data points off the page using Machine Learning (ML)? Join this tech talk to learn how you can take diverse documents and varying file formats to automate your document workflow to reduce manual process, speed up insurance claims processing, and ultimately improve your end customers’ experience.
- Learn how ML can help automate your document pipeline to reduce manual efforts
- Learn how to use Natural Language Processing (NLP) and Optical Character Recognition (OCR) to process insurance claims with varying document formats
- Learn how to process documents faster by implementing ML which can help you accomplish weeks or months of work in a matter of days
Who Should Attend?
Business Decision Makers, Technical Decision Makers, Developers
- Sameer Karnik, Product Manager, Amazon Comprehend
To learn more about the services featured in this talk, please visit:
Service How To
December 19th, 2018 | 1:00 PM PT
Developing Deep Learning Models for Computer Vision with
Amazon EC2 P3 Instances.