Uncover hidden connections in unstructured financial data with Amazon Bedrock and Amazon Neptune
Machine Learning Blog
This article discusses a solution for portfolio managers to detect indirect risks and impacts to their investments by analyzing unstructured data such as financial reports and news articles using knowledge graphs and generative AI.
Specifically, the article covers:
- Building a knowledge graph by extracting relationships from company reports using Amazon Bedrock to automate information extraction
- Processing news articles to identify entities and relationships, linking them to the knowledge graph
- Highlighting news articles that are connected to companies in the portfolio manager's investment universe within 2-3 hops
- An end-to-end architecture using AWS services like Amazon Neptune, Amazon Bedrock, Lambda, Step Functions, and others
- Deploying the prototype solution from a GitHub repo
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
Sep 23
2025
2025
Unlocking the value of unstructured data with Amazon Bedrock Data Automation
May 20
2025
2025
Empower financial analytics by creating structured knowledge bases using Amazon Bedrock and Amazon Redshift
Mar 20
2025
2025
Unleashing the multimodal power of Amazon Bedrock Data Automation to transform unstructured data into actionable insights
Apr 24
2025
2025
Analyzing historical mining data with Amazon Bedrock
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.