Over the past few years, AI has moved from experimentation to a strategic priority. At the same time, many organizations have invested heavily in cloud platforms, data lakes, data warehouses, and other parts of the modern data stack. The result is a familiar executive challenge: companies have more data than ever, but they often lack a clear view of which data is useful, how ready it is for AI, and where it can create measurable business value.