Modernizing the model ecosystem before AI overwhelms it
For many institutions, the model environment has become fragmented, slow, and difficult to explain. Models sit across teams and platforms, changes take too long, and leaders struggle to understand how models connect or why results differ.
This workshop explores how firms are modernizing their model ecosystems to support faster decisions, stronger transparency, and better governance. Topics include model access, scenario analysis, what-if testing, model interdependencies, explainability, platform modernization, and the controls needed to scale AI safely.