Details and Registration Here ■ The Wall of Legacy Systems Hindering AI Utilization As generative AI, data utilization, and advanced business processes directly impact corporate competitiveness, the existing systems that many companies have used for years are beginning to constrain transformation. Even with concepts for AI utilization, business efficiency improvements, or new service development, it is not uncommon for concrete discussions to halt when the field or information systems department determines, "It's impossible with the current system." Legacy systems, which have been considered problem-free simply because they are still operational, must be viewed not only as a source of maintenance costs and technical debt but also as a management challenge that hinders migration to next-generation platforms and corporate transformation itself. ■ Modernization Decisions Stalled by Black Box Systems One reason for the lack of progress in modernizing legacy systems is the difficulty in gathering objective and accurate decision-making materials due to system complexity and black box characteristics. When design documents do not match the actual system, when design documents do not exist at all, when there is no one who can explain the specifications, or when the scope of impact during modification cannot be determined, it becomes difficult to decide whether to modernize, extend the life of, or migrate in stages. As a result, investment decisions are postponed due to the time required for investigation and estimation, leading to a situation where budgets and man-hours continue to be allocated to maintaining existing systems without the necessary infrastructure for AI utilization and DX being developed. ■ Realizing Migration to Next-Generation Platforms Assuming AI Utilization, Starting with AI Analysis This seminar will explain modernization strategies for migrating to next-generation platforms by visualizing the current state of legacy systems using the independently dev