An inside view on what was going on inside Credit Suisse that led the bank to have the biggest losses of $5.5 billion amongst major banks from the collapse of Archegos
Reality of a central bank digital currency (CDBC) is coming closer. However the development of a CDBC is said to pose the biggest threat to banks in developed economies like US?
The annual Nasdaq report highlights 4 most important trends that will have an impact in coming year
Another month and another publication on Artificial Intelligence (AI) by regulators is out. This time it is by the De Nederlandsche Bank (DNB). The principles
Money laundering is a massive drain on the world’s financial, legal and economic institutions and current rule based AML controls with a false positive rate of 90% are just not adequate to detect and monitor them. AML is ripe for disruption and innovation through use of Artificial Intelligence (AI) and Machine Learning (ML) and even the regulators are encouraging the same. Key areas of AML where AI and ML have been shown to work through recent published papers are risk scoring; customer segmentation and transaction monitoring using clustering (k-means); classification (support vector machines) and deep learning (graph convolutional networks). These approaches shows us a glimpse of the near future state of AML controls and how new technology can help solve the seemingly insurmountable problem of money laundering as it exists now.
In an announcement this month that went under the radar due to the US-China trade war grabbing the headlines, the People’s Bank of China (PBoC) announced