Amazon Bedrock Data Automation

Automate the generation of useful insights from unstructured multimodal content such as documents, images, audio, and video for your AI-powered applications.

Overview

Amazon Bedrock Data Automation is a GenAI-powered capability of Bedrock that streamlines the development of generative AI applications and automates workflows involving documents, images, audio, and videos. By leveraging Bedrock Data Automation, developers can reduce development time and effort, making it easier to build intelligent document processing, media analysis, and other multimodal data-centric automation solutions. Bedrock Data Automation offers industry-leading 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 trustworthy and accurate insights from unstructured, multi-modal data sources. Bedrock Data Automation 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).

Key benefits

Quickly build and launch accurate generative AI applications by automating the transformation of unstructured content across documents, images, video, and audio. In addition to faster proof-of-concepts, Amazon Bedrock Data Automation allows you get to get to product scale quickly with a managed experience. Eliminate time-consuming tasks like data preparation including sourcing and annotations, multiple model management, fine tuning, prompt engineering and orchestration with our unified, multi-modal inference API. Whether you're building generative AI applications or automating Intelligent Document Processing, Media Analysis, or RAG workflows, Bedrock Data Automation's managed experience, ease of use and customization capabilities help you deliver business value faster.

Customers can easily and intuitively customize Bedrock Data Automation output to generate specific and accurate insights in consistent formats required by their business systems and applications. Under the hood, BDA uses a combination of state-of-the-art FMs and task-specific models to provide industry leading accuracy at scale across long tail of input data types. BDA output is also easy to audit with features such as visual grounding while confidence scores make it easy to route results for manual reviews, further ensuring that the final output is accurate, trustworthy and tailored to your organization's data automation needs.

Amazon Bedrock Data Automation delivers industry-leading price-performance through unified API access and automated processing. By removing the need for managing multiple models, building a complex orchestration pipeline, data preparation, prompt engineering, guardrails development and more, Bedrock Data Automation enables you to go to production with fewer developers and delivers savings through lower upfront development and ongoing operational costs compared to alternatives. 

Customers

  • Symbeo (A Corvel company)

    We evaluated Bedrock Data Automation and are excited by its promise of greater accuracy, easier data validation and transformation to automate the extraction of data from complex documents such as insurance claims, medical bills and more. This will enable us to streamline our intelligent document processing pipeline, ultimately improving our turnaround time and enhancing our claims processing efficiency.

    Vijay Agrawal, VP, Information Systems, Symbeo (a Corvel company)

  • Tenovos

    We are incredibly impressed with BDA and its ability to simplify the use of Generative AI for our media and asset management needs, all while maintaining flexibility and accuracy. With BDA, we can enable semantic search at scale, to increase content reuse by upwards of 50% or more and decrease millions of dollars in marketing costs. We also see tremendous opportunities in using BDA to automate visual quality assurance, reducing the need for manual inspection. We see a clear path for BDA to become a core component of Tenovos’ solution offering, driving real value for our joint customers. We’re excited to partner with AWS to leverage and enhance BDA as a transformative solution for the industry.

    Philip Wisniewski, VP, Global Alliances, Tenovos

  • Clariant

    Our early look at AWS Bedrock Data Automation was promising. During our testing, it was effective at handling our complex document extraction needs across diverse formats. Its ability to consistently extract accurate data and adapt to various document structures stood out. This feature could greatly simplify our document processing and boost our operational efficiency.

    Samir Kazi, Head of Transformation & Transitions, Global Business Services, Clariant