Amazon Bedrock Data Automation

Session Notes

Problem Statement:

• Organisations struggle with unstructured data in various formats (documents, images, audio, video).
• Manual processing is slow, inconsistent, and costly.
• Existing automation systems are rigid, requiring templates, rules, and manual corrections.
• Increasing demand for compliance, accuracy, and scalability.
• Need for automating multi-format data processing with high accuracy using generative AI. What is Bedrock Data Automation (BDA)?:
• A fully-managed document and media automation capability in Amazon Web Services.
• Enables building end-to-end extraction, classification, and transformation pipelines using foundation models.
• Processes documents, images, audio, and video at scale.
• Orchestrates multi-step workflows using serverless automation.
• Minimises custom code while maximising flexibility. Input Asset:
• [ 1 ] Supports various formats:
• Documents (PDF, DOCX, scanned, structured/unstructured)
• Images (PNG, JPG)
• Audio (voice notes, call recordings)
• Video (meetings, CCTV, webinars)
• [ 2 ] Offers two types of output instructions:
• Standard Output Configuration
• Custom Schema based on matched blueprint Output Response:
• Linearized Text representation of the asset based on configuration.
• Output returned as JSON + additional files if selected in configuration.
• Supported Formats & Information BDA Extracts:
• [ 1 ] Documents:
• Extracts fields, tables, entities
• Classifies, transforms, summarises, and validates
• [ 2 ] Images:
• Offers OCR, document classification, object detection, and handwriting extraction
• [ 3 ] Audio:
• Provides transcription, summarisation, sentiment analysis, speaker detection, and intent extraction
• [ 4 ] Video:
• Offers video summaries, speech-to-text, scene detection, object recognition, and action understanding Standard Output vs Custom Output (Blueprints):
• [ 1 ] Standard Output:
• Out-of-the-box extraction
• Ideal for common documents
• Zero setup, quick results
• [ 2 ] Custom Output:
• Based on blueprints
• Allows for prompt or user-defined blueprints
• Accelerates setup and maintains consistency
• Suitable for industry-specific or complex documents

Types of Document Blueprints:

• [ 1 ] Classification:
• Invoice, bank statement, ID card, contract, HR letter, etc.
• [ 2 ] Extraction:
• Entities, fields, tables, metadata
• [ 3 ] Transformation:
• Modify or restructure data
• [ 4 ] Normalization:
• Standardise data values
• [ 5 ] Validation:
• Validate extracted fields against rules Use Cases:
• [ 1 ] Banking & Finance:
• Automate bank statements, invoices, receipts, fraud checks
• [ 2 ] Insurance:
• Claims processing from forms, photos, reports
• Auto-summaries, extraction, validation
• [ 3 ] Customer Support:
• Transcribe & summarize calls
• Detect sentiment and customer intent
• [ 4 ] HR & Legal:
• Process resumes, contracts, offer letters
• Extract skills, clauses, obligations
• [ 5 ] Security & Operations:
• Summaries from meeting recordings
• CCTV context extraction (people, actions) Key Takeaways:
• Bedrock Data Automation (BDA) is a comprehensive, customizable, and scalable solution.
• [ 1 ] One Platform for All Formats:
• Automates document, image, audio, and video processing.
• [ 2 ] Customizability:
• Delivers highly accurate and customizable outputs using advanced foundation models.
• Ensures trustworthy and consistent insights tailored to any business workflow.
• [ 3 ] Enterprise-Ready:
• Scales to thousands of files with high accuracy and compliance.
• [ 4 ] Faster, Cheaper, Smarter:
• Reduces manual workload and delivers clean, structured outputs instantly.