AI and automation depend on clean, structured and reliable data. Fragmented sources, inconsistent tagging and disconnected workflows limit the value of advanced tools.  

This session will examine how firms are improving data standards, aligning internal and external feeds and building shared data frameworks that support both portfolio construction and execution performance.