Experts Highlight Challenges in Adapting Legacy Systems for Machine-Driven Trading

Franklin Templeton's Sandy Kaul and Apollo's Christine Moy discussed at Consensus the potential challenges legacy capital-market systems face in adapting to continuous machine-driven trading. According to NS3.AI, they emphasized that existing systems may struggle to keep up with the demands of automated trading processes. Tom Zschach noted that while blockchain networks are capable of processing transactions rapidly, there remains a need for institutions to establish clear standards for governance, compliance, and permissions to fully leverage these technologies.