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The traditional approach of using human reviewers to extract the data is time-consuming, error-prone, and not scalable. In this post, we show how to automate the accounts payable process using Amazon Textract for dataextraction. His interests and experience include containers, serverless technology, and DevOps.
Manual dataextraction and analysis can slow down the workflow, leading to longer processing times and lower customer retention. Errors in data interpretation or inconsistencies in applying guidelines can result in incorrect risk assessments, premium leakage, and lost customers for the insurer.
Archana Joshi brings over 24 years of experience in the IT services industry, with expertise in AI (including generative AI), Agile and DevOps methodologies, and green software initiatives. We recently worked with a large insurance company that wanted to automate its dataextraction processes.
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