1. HSBC Adopts Machine Learning Artificial Intelligence to Fight Money Laundering Why would a bank like HSBC find it difficult to identify transactions and account fluctuations that should be clear signs of money laundering or other fraudulent behavior?

2. How did Ayasidi’s machine learning AI help HSBC uncover cases of money laundering?

3. What is the purpose of “feature engineering” conducted prior to submitting data to the machine learning applications?

4. What is the black box effect of machine learning applications?

5. Why are banks likely to adopt different kinds of AI technologies in the future? What do they hope to gain from this emerging area of technology?