Implementing QXEFV comes with several challenges, including computational complexity, substantial data requirements, expertise shortage, model interpretability issues, and integration difficulties with existing systems. These can be addressed through strategies such as leveraging cloud computing, implementing robust data collection systems, investing in training programs, developing visualization tools, and starting with pilot projects before scaling up. Overcoming these challenges often requires a combination of technological investment, skill development, and strategic planning. As QXEFV becomes more widely adopted, many of these challenges are likely to be addressed through improved tools, methodologies, and a growing pool of expertise.