The algorithms aren’t what set us back with AI, it’s the absence of trust. Without transparency, accountability, and a culture of honesty, AI will amplify bias and bad decisions. The quality of LLM responses is only as good as the quality of the context you give it. In the enterprise, that context is often messy, redundant, outdated or contradictory. Indexing thousands of documents across dozens of systems may seem comprehensive, but it often results in confusion rather than clarity. This session will cover the decisions that go into building and implementing trustworthy solutions and how we as data and enterprise leaders can appropriately leverage this technology appropriately to drive meaningful results.