Overview:

Enterprise AI initiatives often struggled with unstructured data: documents, PDFs, emails, and reports were difficult to extract content from, standardize, and make queryable for generative AI. IBM and Unstructured partnered to simplify this process. In this webinar, we showed how watsonx.data and Unstructured worked together to prepare, govern, and deliver AI-ready data for reliable RAG and agentic AI.

Attendees saw how organizations could automate document ingestion, parsing, and enrichment, continuously processed new or updated documents, and leveraged data transformation workflows at scale to accelerate deployment. They learned how to save engineering hours, accelerate AI deployment, and maintain enterprise-grade reliability, all while enabling teams to build scalable, production-grade RAG and agentic applications.

Technical Details:

In this session, we walked through:

• How Unstructured transformed complex unstructured content into semantically enriched, AI-ready formats for use in RAG and agentic AI workflows.
• How watsonx.data provided an open, hybrid foundation for structured and unstructured data, with data governance, lineage, and access controls.
• How Unstructured and watsonx.data integrated to simplify orchestration and enabled production-ready RAG pipelines to power more reliable AI agents and applications.
• A demo using Unstructured, watsonx.data, and watsonx Orchestrate showing natural-language chat with enterprise documents.