Insights
Analytiqal shares its insights, experience and thought-leadership through frequent posts on this page to help organizations thrive and expand their thinking. Our content is targeted to those business leaders looking for hands-on discussions and solutions to challenges in data science, AI, financial crime, and regulatory domains. Feel free to contact us if you want to discuss any of these in more detail.
Featured insight
ESG Meets AML: Tracing Value-Chain Risks with Data
Money laundering doesn’t happen in a vacuum — it hides behind other crimes. With the EU tying ESG offences directly into AML rules, these once-separate compliance worlds are converging fast. This article explores how firms can move beyond box-ticking by linking ESG and AML through value-chain data. From batteries to furniture, supply chains reveal risks that impact both sustainability disclosures and financial-crime exposure. Our open-source methodology shows how to trace those risks and transla…
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Benchmarking AI solutions for FEC challenges
We tested the use of some Large-Language models (Artificial Intelligence) in the Financial Economic Crime context We found that given the requirements on AI processing power, the trial-and-error nature of prompt engineering for LLMs, and results from this analysis showing false-negative conclusions are very feasible with LLM outputs, companies facing AML, Sanctions and KYC challenges should think …
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