Big Data Analytics Tokyo: AI for AML

Agenda

The November 2018 subpoena of one of Japan’s largest financial institutions around suspected AML failures highlights the growing regulatory pressure banks are feeling in the country—and across East Asia—to improve their anti-financial crime programs. Increasingly, regulators and technology vendors are collaborating to help financial institutions tackle money laundering, terrorist financing, and other financial crimes through innovation.

In response, financial institutions are now grappling with how to integrate these innovative technologies. Addressing this challenge is the central theme of AI for AML.

Big Data Analytics Tokyo, now in its third year, connects entrepreneurs with major corporations in the world’s third-largest economy. This one-day event focuses on business opportunities in AML and counter-terrorist financing (CTF) by educating financial institutions on emerging technology for fighting financial crime.

Key Themes

How much downside regulatory risk do banks face if they do not embrace innovation in their AML/CTF programs?

How can banks deploy AI, machine learning (ML), and natural language processing (NLP) in their AML programs to mitigate this risk?

At this half-day conference, you’ll get the opportunity to network with representatives from Japanese, East Asian, and global financial institutions seeking to innovate. As part of the Big Data Analytics Tokyo (BDAT) event series, you can be confident that you’ll have conversations that lead to meaningful partnerships.