Gaurav Verma

Most enterprises don't have a data problem — they have a connection problem. Precise numbers live in tables, meaning lives in documents, and the relationships that tie them together are invisible to both. That gap is why AI answers sound confident but can't be trusted or explained. This session shows how to move from managing data as static, siloed inventory to orchestrating it as a connected, context-aware foundation: what "metadata by design" looks like when business context is required at creation time instead of enriched after the fact, how knowledge graphs make relationships explicit for GraphRAG and agentic workflows, and why production benchmarks show 60-80% reductions in hallucination when semantic structure is in place. You'll walk away with a concrete playbook — not another dashboard, but a blueprint for turning fragmented data into answers your business can actually act on.