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Artificial intelligence (AI) is all around us – and yet, it can sometimes be hard to see the impact it has on our everyday lives. There are many things that would not be the same without AI, but somet...
We have been asked to explain the differences between rules-engines and machine learning for anti-money laundering/banking secrecy act applications on numerous occasions. This question typically arise...
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...
It has been using in many professions such as health, transport, education, engineering, business analytics, e-commerce, etc. Each profession was looking for the top app development companies, as the ...
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...
More than 60 years have passed since artificial intelligence was a daring concept at Dartmouth Сollege which only got half of the requested funding. Right now, AI is a $9.5 billion industry, projected...
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...
The REGTECH Book: The Financial Technology Handbook for Investors, Entrepreneurs and Visionaries in Regulation, Wiley August 2019. Authors: Janos Barberis, Douglas W. Arner, Ross P. Buckley. Amazon ...
My top 5: 1. Climate crisis awareness growing exponentially. Overconsumption and overpopulation (5 billion! more than 70 years ago) on everybody's mind. This will force enterprises to change fast. Own...
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...
With digital transformation in full swing, trading desks are inundated with emails, voice calls and chat to process and analyze. Most of this data needs to be captured, tagged and stored for regulator...