Artificial Intelligence
Author: Anutosh
Anutosh is a Solutions Architect at AWS India. He partners with enterprise customers to architect secure, resilient, and data-driven cloud environments that accelerate business outcomes. He specializes in designing scalable architectures for cloud migration and modernization, while integrating data analytics, cybersecurity, and machine learning to solve complex technical challenges.
Reducing medical claims review time with AI on AWS: The EXL Medical IDP solution
EXL built an AI-powered Medical intelligent document processing (IDP) solution on AWS, combining IDP with domain-specific large language models on Amazon SageMaker and Amazon Bedrock to extract, summarize, and query medical records at enterprise scale and cut claims review time from over 100 minutes per case.
Unlock AWS Cost and Usage insights with generative AI powered by Amazon Bedrock
In this post, we explore a solution that uses generative artificial intelligence (AI) to generate a SQL query from a user’s question in natural language. This solution can simplify the process of querying CUR data stored in an Amazon Athena database using SQL query generation, running the query on Athena, and representing it on a web portal for ease of understanding.