B1 | Why Data Quality Determines Enterprise AI Success or Failure

In the AI arms race, the most sophisticated models do not always come out on top. Companies making real progress often start by building strong data foundations before they need them, and before scaling AI exposes long-standing problems in data quality, architecture, ownership, and trust. This session looks at how to treat data as a long-term business asset, decide who owns it, and build the systems that allow AI investments to improve over time rather than stall after early pilots.