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Artificial Intelligence and Financial Services
Complex Problem: Operational challenges Trade financing, where banks and financial institutions provide credit facilities in order to guarantee exchange of goods, is a centuries old industry that hasn...
The reputation of any financial services organisation rests squarely on trust, security and professional integrity. Breaches of any of these profoundly damages the belief of markets, investors and cus...
Artificial intelligence has been around for quite a while now, and it’s already made a strong impact on many sectors. It should be no surprise that customer service has been one of the most affected o...
Financial services providers have been using Artificial Intelligence (AI) and machine learning for a range of operations, including credit underwriting and conversational banking. However, one use cas...
The 0-interest policy in the euro area has been defended by the need to get inflation up to 2%. I have been wondering how that can be possible when cost of work, energy, material, tax and financing ge...
Fraudulent applications present a significant risk to a businesses’ success and reputation. As criminals become more sophisticated in targeting credit cards, loans, current accounts and other financia...
There’s not much you can’t get on the dark web; it’s a lawless haven for cybercriminals. As businesses continue to utilise increasingly stringent identity checks, fraudsters will always be trying to g...
Fraud has reached the highest levels on record, affecting more organizations than ever. The scale of the problem was revealed in last year’s PWC Global Economic Crime and Fraud Survey. Of the 7,228 b...
Integrating alternative data into the investment process is the future of portfolio management, yet the practice of identifying valuable, non-traditional data sets is age old. Some call it fundamenta...
Artificial intelligence (AI) and machine learning (ML) promise a smarter, more automated future for everyone. But the algorithms that underpin these technologies are at risk of bias, a substantial thr...