Transform unstructured data into meaningful insights using Amazon Bedrock Data Automation (original) (raw)

What is Bedrock Data Automation?

Bedrock Data Automation (BDA) is a cloud-based service that simplifies the process of extracting valuable insights from unstructured content—such as documents, images, video, and audio. BDA uses generative AI to automate the transformation of multi-modal data into structured formats, enabling developers to build applications and automate complex workflows with greater speed and accuracy.

Here are some example use cases:

Document processing: BDA enables you to automate intelligent document processing (IDP) workflows at scale without the need to orchestrate complex document processing tasks like classification, extraction, normalization, or validation. This helps you to transform unstructured documents to business-speciﬁc, structured data outputs. You can customize BDA output to integrate with your existing systems and workflows.
Media analysis: Add meaningful insights to unstructured video. Create summaries of each scene, help identify unsafe or explicit content, extract text that appears in the video, and classify content based on advertisements or brands. You can then use these insights to enable intelligent video search, improve contextual advertising placement, and help with brand safety and compliance.
Generative AI assistants: Enhance the performance of your retrieval-augmented generation (RAG) powered question answering applications by providing them with rich, modality-specific data representations extracted from your documents, images, video, and audio.

BDA provides a unified, API-driven experience that allows you to process multi-modal content through a single interface, eliminating the need to manage and orchestrate multiple AI models and services. With built-in safeguards, such as visual grounding and confidence scores, BDA helps you improve the accuracy and trustworthiness of the extracted insights, making it easier to integrate into your enterprise workflows.