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Navigating the challenges of XML methodology in EMIR reporting

Navigating the challenges of XML methodology in EMIR reporting

The upcoming deadlines for applying changes to EMIR reporting for both the EU and the UK are fast approaching, with the EU's date set...

Smarter Contracts seals $1m in backing for its blockchain consent platform

Smarter Contracts, the pioneering marketing and privacy technology firm, has successfully raised $1.095m in a funding round.

Unpacking the SEC climate disclosure rule: a shift towards sustainability reporting

Position Green's Managing Director in the USA, Jason Stanley, has shed light on the intricate details of the US Securities and Exchange Commission's (SEC) newly proposed climate disclosure rule, explaining its far-reaching implications on US and foreign private issuers.

Unlocking the mystery of Human Rights Due Diligence: A guide for businesses

The importance of Human Rights Due Diligence (HRDD) cannot be overstated. However, there are many questions concerning HRDD that are posed by businesses and...

MiCA: The new regulatory benchmark for crypto assets in the European Union

The world of digital currencies and assets has seen an explosive growth, prompting both opportunities and challenges for regulatory authorities. Eventus, a multi-asset class trade surveillance, market risk and transaction monitoring solutions provider, recently explained what firms need to know about MiCA.
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.

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...

The big data challenge: How SupTech is transforming regulatory expectations

The global regulatory landscape is increasingly demanding comprehensive record keeping strategies from firms. This focus is escalating as both regulators and firms are investing...

Transforming finance with dynamic risk assessments

Unlocking the potential for commercial success, dynamic financial crime risk assessments offer a multitude of benefits for financial institutions. Acuminor, a RegTech company explained...
Reg BI and Off-Channel Communications: Key Takeaways from the FINRA Annual Conference

Reg BI and Off-Channel Communications: Key Takeaways from the FINRA Annual Conference

Allison Lagosh, Compliance Advisor and Director for Saifr®, recently shared her experience and observations from the FINRA Annual Conference. The annual conference serves as an insightful platform to discuss future-focused themes in the FinTech industry, offering an opportunity to leave behind the daily grind and delve into the industry's key issues.
Streamlining AML and CRA processes Loomis FX's success with KYC Portal

Streamlining AML and CRA processes: Loomis FX’s success with KYC Portal

Organisations worldwide are increasingly seeking ways to optimise their customer risk assessment (CRA) and anti-money laundering (AML) risk management strategies. Implementing effective CRA and AML procedures plays a crucial role in providing an accurate analysis of the potential risks that new clients might pose.
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