Bedrock Data Automation (Preview): Simplifying Unstructured Data Processing

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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. Come learn how BDA leverages 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.

© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.
© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Amazon Bedrock Data
Automation
Arnab Sinha
Senior Solutions Architect
AWS
A M A Z O N W E B S E R V I C E S
Jean Malha
Specialist Solutions Architect – Amazon Bedrock
AWS

© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.
What’s on deck
The multi-modal content challenge
What is Amazon Bedrock Data Automation
Use Cases and Applications Overview
Demo
Questions and Resources

© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Why is multi-modal content hard?
Unprecedented scale of
content generation
Hard to get the
desired accuracy
ML is promising but requires
specialized expertise
Lack of standardized
tooling
Complex postprocessing to
adapt and integrate ML output
with downstream systems
Diverse formats and
variations in asset types

© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Amazon Bedrock Data Automation
A generative AI-powered capability to transform multi-modal
unstructured content from documents, images, video, and
audio into structured data easily, accurately, and at scale.

© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Key Features
Single inference API to
handle production scale
Built-in Responsible AI
with visual grounding,
confidence scores, and
toxic content detection
Simple and intuitive
interface to define output
schemas and fine-grained
business rules
Orchestration across
state-of-the-art task-specific
models and foundation
models to generate highly
accurate, consistent output
Integration with Amazon
Bedrock features and
Knowledge base

© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.
How it works
T Y P E S O F O U T P U T T H A T B D A C A N R E T U R N
Standard Output
Linearized text representation of asset
Gen-AI optimized output: reading / viewing order,
semantically related output groupings, etc.
Controls to optimize output based on downstream
systems with simple selection knobs
Automatic modality routing based on semantic
modality, not just file type
Supported Modalities for Standard Output
Custom Output
Developer supplied schema based on your
downstream systems (Blueprint)
Supports tasks such as extraction, key and value
normalization, transformations, reasoning,
splitting and classification
Simple NL interface to define business rules and
task logic for each field
Console-based assistant to create bespoke
blueprints in minutes with sample and desired
output description
Supported Modalities for Custom Output
Images
Documents Audio
Video
Images
Documents

© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Key usecases
What are the types of applications where multi-modal content processing is needed?
Media Asset
Analysis &
Monetization
Intelligent
Document Processing
Intelligent
Speech Analytics
Multimodal Intelligent search

© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Getting Started with BDA is Easy
I N P U T S / O U T P U T S
Input Asset
Amazon Bedrock
Data Automation
2
optional
Desired Output Instructions
Output Response
1
Images
Documents Audio
Video
Standard Output
Configuration
List of Custom Output
Resources (Blueprint)
Linearized Text
representation of the
asset based on
configuration
Output returned as JSON +
additional files if
selected in configuration
Custom Schema based for
each asset based on
matched blueprint
Output returned as JSON

© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.
© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.
BDA Demo – in console

© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Next steps
H O W T O G E T S T A R T E D
17
How to get started in
console
Solutions Guidance

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Bedrock Data Automation (Preview): Simplifying Unstructured Data Processing

1. © 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved. © 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Bedrock Data Automation Arnab Sinha Senior Solutions Architect AWS A M A Z O N W E B S E R V I C E S Jean Malha Specialist Solutions Architect – Amazon Bedrock AWS

2. © 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved. What’s on deck The multi-modal content challenge What is Amazon Bedrock Data Automation Use Cases and Applications Overview Demo Questions and Resources

3. © 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved. Why is multi-modal content hard? Unprecedented scale of content generation Hard to get the desired accuracy ML is promising but requires specialized expertise Lack of standardized tooling Complex postprocessing to adapt and integrate ML output with downstream systems Diverse formats and variations in asset types

4. © 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Bedrock Data Automation A generative AI-powered capability to transform multi-modal unstructured content from documents, images, video, and audio into structured data easily, accurately, and at scale.

5. © 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved. Key Features Single inference API to handle production scale Built-in Responsible AI with visual grounding, confidence scores, and toxic content detection Simple and intuitive interface to define output schemas and fine-grained business rules Orchestration across state-of-the-art task-specific models and foundation models to generate highly accurate, consistent output Integration with Amazon Bedrock features and Knowledge base

6. © 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved. How it works T Y P E S O F O U T P U T T H A T B D A C A N R E T U R N Standard Output Linearized text representation of asset Gen-AI optimized output: reading / viewing order, semantically related output groupings, etc. Controls to optimize output based on downstream systems with simple selection knobs Automatic modality routing based on semantic modality, not just file type Supported Modalities for Standard Output Custom Output Developer supplied schema based on your downstream systems (Blueprint) Supports tasks such as extraction, key and value normalization, transformations, reasoning, splitting and classification Simple NL interface to define business rules and task logic for each field Console-based assistant to create bespoke blueprints in minutes with sample and desired output description Supported Modalities for Custom Output Images Documents Audio Video Images Documents

7. © 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved. Key usecases What are the types of applications where multi-modal content processing is needed? Media Asset Analysis & Monetization Intelligent Document Processing Intelligent Speech Analytics Multimodal Intelligent search

8. © 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved. Getting Started with BDA is Easy I N P U T S / O U T P U T S Input Asset Amazon Bedrock Data Automation 2 optional Desired Output Instructions Output Response 1 Images Documents Audio Video Standard Output Configuration List of Custom Output Resources (Blueprint) Linearized Text representation of the asset based on configuration Output returned as JSON + additional files if selected in configuration Custom Schema based for each asset based on matched blueprint Output returned as JSON

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