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Tag: AML 2023

homes
Companies

UK homes rise £3k as money laundering fuels property boom

New analysis by SmartSearch has revealed that criminal money entering the UK property market has pushed average house prices up by £3,000 nationwide, with...
AI
Companies

Navigating the complexities of AI adoption in the AML space

In a recent post by Moody's Analytics, the firm asked three key questions about driving efficiency with AI-powered screening.
Deutsche
Companies

Deutsche Bank faces $186m penalty over AML failures

Deutsche Bank has been hit with a fine of $186m by the Federal Reserve Board due to deficient AML practices and other violations.
For example, let’s say you’ve applied for a life insurance policy. On the other end, a team of underwriters looks at your application information — age, habits, personal data, income, lab results, blood tests, a physician’s summary — and manually identifies your risk against a predetermined set of markers. That level of risk then dictates how high a premium you’ll have to pay. Some applications are rejected outright. Today, it costs most life insurance companies upwards of $500 just to reject a life insurance application. A technology like generative AI can come to the same conclusion regarding those risk factors based on the biomarkers in your application at a fraction of the cost. Of course, an approved application carries a higher financial risk for the provider than a rejected application. So while a company may be able to use technology that is only 70% accurate to reject applications, that rate won’t cut it for approving them. Regardless, even if just half the manual work is eliminated customers will be served more quickly and effectively at a lower cost to the provider. The immediate opportunity for industries like healthcare and insurance is to identify which applications they can accept under 100%, and begin to leverage generative AI for those tasks. Applied to the world of healthcare and insurance, generative AI has enormous potential capabilities. For customers of these industries, costs continue to go up and access to care is dwindling. In the United States especially, going to the doctor is an experience full of friction. Recently, I started to feel a bit unwell the day before a long flight. It wasn’t an emergency situation, but a time sensitive one. Though I’ve been seeing my primary care physician for over 20 years, they couldn’t see me on short notice and sent me off to urgent care. All I really needed was a quick diagnosis to give me peace of mind before I sat on a plane for 16 hours. A technology like ChatGPT has the potential to provide a diagnosis like that, without requiring a trip to the doctor. Or worse, urgent care. Access to healthcare is critical. I have better than average insurance, but still couldn’t get the help I needed when I needed it. Think of how it must be for one of the millions of people who don’t have the same quality of insurance or care. It shouldn’t be like that, nor does it need to be. Technologies like ChatGPT have the potential to democratize healthcare, to make it more available and accessible in a way that betters our collective quality of life. The big question for today’s incumbents is whether they’ll be the ones providing that improved experience, or whether they’ll go the way of Blockbuster. The opportunity to adapt and improve is at their fingertips, but action is imperative.
Companies

Resistant AI: Unveiling financial crime with sophisticated technology

The ACAMS Annual AML & Anti-Financial Crime Conference in Hollywood, Florida, is a high-profile event in the anti-money laundering sector, serving as an annual...
Companies

The indispensable role of threat and risk analysis

Facing the interconnected and complex financial ecosystems of today, financial institutions are grappling with regulatory compliance and financial crime prevention. Emerging technologies have opened new...
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