From Raw Documents to AI-Ready Data — Leo Platzer & Jeff Koss

תקציר מקורי באנגליתA chatbot pilot on 40 hand-picked files works great. Point it at 80,000 SharePoint documents and it falls apart. Jeff Koss and Leo Platzer, co-founder and former CTO of Deasy Labs (acquired by Collibra), walk through taking an unstructured-data AI project from stalled POC to production. Using a manufacturer building a legal-ops chatbot over 80,000 SharePoint files, they demo AI-assisted taxonomies and metadata tagging with evidence and confidence scores, sensitive-data detection, and quality checks for duplicates, conflicts and freshness. Data slices refresh on a schedule. Leo then shows why this matters: when 30% of a corpus is stale or duplicated, up to 80% of an agent's retrieved context can be useless, and cleaning it roughly doubled recall in multi-hop RAG evals. He finishes by genera