Red Hat

This talk addresses the challenge of processing unstructured data, such as PDFs, presentations, and technical documents, to make it usable for AI applications. The core thesis is that effectively structuring this data is crucial for building robust AI systems like RAG and agents, and that open-source tools can provide efficient, local solutions. The presentation highlights the limitations of basic parsing methods and introduces Docling as a comprehensive tool for extracting and transforming various document formats.

This talk demonstrates how to run OpenClaw, an open-source coding agent, within containers, from local development environments to Kubernetes clusters. The core thesis is that containerization provides a reproducible, secure, and portable way to deploy and manage AI workloads like OpenClaw, simplifying development, onboarding, and scaling.