Today, we are announcing the preview launch of Amazon Bedrock Data Automation (BDA), a new feature of Amazon Bedrock that enables developers to automate the generation of valuable insights from unstructured multimodal content such as documents, images, video, and audio to build GenAI-based applications. These insights include video summaries of key moments, detection of inappropriate image content, automated analysis of complex documents, and much more. Developers can also customize BDA’s output to generate specific insights in consistent formats required by their systems and applications.
By leveraging BDA, developers can reduce development time and effort, making it easier to build intelligent document processing, media analysis, and other multimodal data-centric automation solutions. BDA offers high accuracy at lower cost than alternative solutions, along with features such as visual grounding with confidence scores for explainability and built-in hallucination mitigation. This ensures accurate insights from unstructured, multi-modal data content. Developers can get started with BDA on the Bedrock console, where they can configure and customize output using their sample data. They can then integrate BDA’s unified multi-modal inference API into their applications to process their unstructured content at scale with high accuracy and consistency. BDA is also integrated with Bedrock Knowledge Bases, making it easier for developers to generate meaningful information from their unstructured multi-modal content to provide more relevant responses for retrieval augmented generation (RAG).
Bedrock Data Automation is available in preview in US West (Oregon) AWS Region.
To learn more, visit the Bedrock Data Automation page.
Source:: Amazon AWS