AML交易监控与新技术

That's a really interesting point. I've been wondering how these older systems are coping with the sheer volume and speed of modern transactions, especially with crypto. Are these AI/ML solutions already proving more effective in reducing false positives, or is it still early days for widespread adoption?

That's a really good point about the traditional systems. I've definitely seen some of the larger institutions making noise about AI/ML for anomaly detection, but the implementation seems to be slow-going due to regulatory hurdles and data privacy concerns. Are smaller firms having an easier time adopting these newer technologies?

From what I've seen, many firms are certainly discussing AI/ML for AML, but actual significant investment and successful large-scale implementation seem to be moving at a much slower pace than the hype suggests. The regulatory hurdles and data quality issues are substantial.