Tutorial: @landingai Pipelines That Self-Improve | Future of Data and AI | Agentic AI Conference @Datasciencedojo
Tutorial: @landingai Pipelines That Self-Improve | Future of Data and AI | Agentic AI Conference  @Datasciencedojo
Uploaded April 2026 | Updated September 2026, 2 weeks ago
Andrea Kropp, Applied AI Engineer at @landingai, walks developers through a production-grade document extraction architecture that doesn’t just process; it learns. Using LandingAI’s Agentic Document Extraction API and modern multi-agent frameworks, you’ll see how to build a pipeline that measures its own accuracy, identifies failures, and refines itself automatically across high volumes, multi-page layouts, and edge cases.

In this session, you’ll learn to:
- Design an end-to-end extraction pipeline from raw documents to structured outputs with automated routing, evaluation, and feedback loops built in.
- Build systems that measure accuracy against benchmark datasets, identify failure points, and drive targeted improvements using evidence instead of guesswork.

Speaker:
Andrea Kropp | Applied AI Engineer | LandingAI : linkedin.com/in/andreakropp
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Tutorial: @landingai Pipelines That Self-Improve | Future of Data and AI | Agentic AI Conference

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