Boards are increasingly investing in data governance because AI initiatives expose weaknesses in data quality, ownership and accountability that traditional analytics workflows may not reveal as quickly. Yet many organizations find that this spending does not translate into measurable outcomes. Policies exist, owners are named and a data catalog is live, but an AI pilot…
