Adobe Acrobat AI powered by Bedrock | How to Build with AWS

Discover how Adobe revolutionized document experiences with AI-powered Acrobat using AWS Bedrock! 🚀 In this episode of "How to Build with AWS," we dive deep into Adobe's journey of transforming static PDFs into interactive, intelligent documents that you can have conversations with. Join us as Adobe's engineering team reveals how they built a Bedrock-first architecture to enable AI Assistant capabilities across single documents and document collections (PDF Spaces). Learn about their end-to-end solution—from neural network-powered data extraction on GPUs to vector search with OpenSearch, and how they leverage Amazon Bedrock for content understanding and intent recognition. What You'll Learn: ✅ How to architect AI-powered document processing at scale ✅ Building data pipelines from document ingestion to AI-powered responses ✅ Choosing and implementing AWS Bedrock for production workloads ✅ Using SageMaker for fine-tuning and automation ✅ Implementing responsible AI with Amazon Guardrails ✅ Handling multi-modal documents with images, charts, and tables ✅ Optimizing for speed and performance with caching strategies ✅ Managing peak loads across large document collections ✅ Using "LLM as a jury" approach with Anthropic models Key Technologies Covered: • Amazon Bedrock • Amazon SageMaker • OpenSearch • Amazon Guardrails • GPU-based Neural Networks • Vector Databases • RAG Architecture Perfect for developers, architects, and technical leaders interested in building production-ready AI document solutions! #AWS #AmazonBedrock #Adobe #Acrobat #GenAI #MachineLearning #DocumentAI #RAG #OpenSearch #SageMaker #CloudArchitecture #AIatScale #ResponsibleAI #BuildOnAWS #HowToBuildLikeAWS #PDFProcessing #VectorSearch #LLM #AnthropicClaude #AWSLivestream #DeveloperTools #EnterpriseAI #DocumentProcessing #AIIntegration