Content Enrichment, Data Science and ML - Artificial Intelligence Zone

Build well-architected IDP solutions with a custom lens – Part 3: Reliability

AWS Machine Learning Blog

NOVEMBER 22, 2023

Although the stages in an IDP workflow may vary and be influenced by use case and business requirements, the stages of data capture, document classification, text extraction, content enrichment, review and validation, and consumption are typically parts of IDP workflow. He is focusing on AI/ML and IoT.

IDP

IDP Automation Machine Learning ML

Build well-architected IDP solutions with a custom lens – Part 1: Operational excellence

AWS Machine Learning Blog

NOVEMBER 22, 2023

Harness a flywheel approach, wherein continuous data feedback is utilized to routinely orchestrate and evaluate enhancements to your models and processes. Common stages include data capture, document classification, document text extraction, content enrichment, document review and validation , and data consumption.

IDP

IDP Machine Learning Data Extraction ML

Artificial Intelligence Zone

Build well-architected IDP solutions with a custom lens – Part 3: Reliability

Build well-architected IDP solutions with a custom lens – Part 1: Operational excellence

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