Tag: Anti-Money Laundering

In a significant announcement made in February, the Council of the European Union revealed that Frankfurt has won the competitive bid to host the Anti-Money Laundering Authority (AMLA), marking a pivotal moment for regulatory oversight within the EU.

In the UK, the deployment of artificial intelligence (AI) is perceived as the principal threat for over half of the regulated firms this year. A...

Key European InsurTech investment stats in 2023: • European InsurTech deal activity totalled at 126 deals in 2023, a 44% reduction from the previous year •...

Hawk AI, a front-runner in AI-driven solutions for fraud and anti-money laundering (AML) surveillance, has recently announced the strategic appointment of Robin Lee as General Manager for the Asia-Pacific (APAC) region.

NICE Actimize, a leading provider of financial crime, risk, and compliance solutions, has unveiled a new suite of generative AI-based innovations.

In a significant development reported in October 2023, the United Arab Emirates (UAE) is on the cusp of being removed from the Financial Action Task Force's (FATF) "grey list."

In an industry-wide call to action, several prominent associations have voiced their concerns over the potential consequences of the current draft text of Recital 34 in the Anti-Money Laundering (AML) Regulation.

Key Australian FinTech investment stats in 2023: • Australian FinTech deal activity reached 93 transactions in 2023, a 17% reduction from 2022 • Australian FinTech companies...

Big changes are sweeping through Europe's financial landscape, thanks to the introduction of stringent Anti-Money Laundering (AML) laws. These new regulations are particularly significant for high net worth individuals (HNWIs) and businesses in the luxury sector. The mandate? Heightened vigilance and transparency in financial dealings, aiming to curtail the misuse of funds.

In the rapidly evolving sectors of finance and governance, managing risk amidst vast, global networks of individuals and organizations is crucial. Leaders tasked with overseeing institutional risk exposure are increasingly looking towards innovative solutions to balance growth and risk management effectively. Enter Large Language Models (LLMs) like GPT-4 – the new frontier in AI, sparking a revolution in fields such as natural language processing (NLP). Despite the inherent risks associated with emerging technologies, the potential of LLMs to significantly contribute to future risk assessment products is becoming increasingly evident.