Diterjemahkan otomatis dari aslinya · Baca versi asli (English)
Penasaran bagaimana perusahaan mengevaluasi ulang sistem pemantauan transaksi mereka yang ada, terutama dengan kemajuan pesat dalam AI dan pembelajaran mesin. Apakah mesin berbasis aturan yang sudah mapan masih mampu menghadapi tanda bahaya AML yang canggih, atau apakah kita melihat perubahan penuh ke model yang lebih dinamis dan prediktif?
It's a really good question. I think a lot of the older rules-based systems are definitely showing their age when it comes to truly sophisticated patterns. The pivot to more dynamic models seems inevitable, but the integration challenges are probably what's slowing things down for many institutions.
This is a really interesting point. Are firms still relying on hybrid systems, or is the transition to fully AI-driven models happening faster than I thought? I'm curious about the challenges they're facing in integrating these new AI models.
The 'full pivot' is still aspirational for most; integrating new AI models with legacy systems is a major hurdle. Many are running hybrid systems, but the old rules-based engines are definitely struggling to keep pace with modern financial crime.
Traderforum · Bahasa Indonesia