AI is forcing analytics leaders to look again at the BI estates they have inherited: decades of dashboards, reports and pipelines containing valuable institutional knowledge, but often little visibility of what should be trusted, retained or retired.

As AI puts greater weight on clean definitions, trusted metrics and strong context, the decisions organisations make now will shape their analytics environment for years to come. Move too fast and valuable knowledge can be lost; move too slowly and the cost of maintaining the existing estate starts competing directly with investment in AI.

Join fellow data, analytics and governance leaders to explore how organisations can bring these two worlds forward together.