Organizations face challenges in processing large amounts of unstructured data, including documents, images, audio files, and video files. Generative AI technologies are revolutionizing this by automatically processing, analyzing, and extracting insights from these diverse formats. Amazon Bedrock Data Automation and Amazon Bedrock Knowledge Bases enable organizations to build powerful multimodal RAG applications with minimal effort. These tools automate workflows, store extracted information in a unified repository, and enable natural language querying through a RAG-based Q&A interface. Real world use cases
The integration of Amazon Bedrock Data Automation and Amazon Bedrock Knowledge Bases enables powerful solutions for processing large volumes of unstructured data across various industries. Financial institutions process thousands of documents daily, from loan applications to financial statements. Amazon Bedrock Data Automation extracts key financial metrics and compliance information, while Amazon Bedrock Knowledge Bases allows analysts to ask questions like “What are the risk factors mentioned in the latest quarterly reports?” or “Show me all loan applications with high credit scores.”