Intelligent Document Processing (IDP) used to mean brittle pipelines of OCR, specific regular expressions, and custom Lambdas. Bedrock Data Automation changes the paradigm: declare a schema via a Blueprint, and let generative AI extract structured data from messy, unstructured multi-modal inputs. Here is the practitioner evaluation of migrating from Textract pipelines to BDA.
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Bedrock Multi-Agent Collaboration: From re:Invent Demo to Enterprise Production
Amazon Bedrock Multi-Agent Collaboration reached GA at re:Invent 2024, enabling supervisor agents to orchestrate specialised sub-agents across enterprise domains. This is the production reality check: routing quality, token cost multiplication, failure modes that don’t surface until scale, parallel invocation patterns, and the compliance gap that catches regulated industry teams — Guardrails don’t propagate from supervisor to sub-agents.
Read more →Generative AI Services in AWS
A practitioner’s deep-dive into the complete AWS Generative AI stack: Amazon Bedrock foundation models, Knowledge Bases, Agents, Guardrails, Amazon Q Business and Q Developer, SageMaker fine-tuning with LoRA, Trainium and Inferentia custom silicon, multi-model routing patterns, and production observability. 3000+ words of enterprise-grade guidance.
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