Regtrends: Our
Regulatory Guides

This advanced study synthesises and elaborates on the progression, challenges, and future directions of NLP technologies, drawing from the foundational insights provided by two seminal texts. It aims to offer a clear, structured, and in-depth examination of the transformative advancements in language models, focusing on methodological innovations, architectural advancements, and the ethical framework guiding these developments.

This detailed exposition seeks to elucidate the complex interplay among these technologies, their integration into the financial sector, and the resultant creation of a more dynamic, responsive, and intelligent financial ecosystem.

This introduction serves as a gateway to understanding how this type of intelligence, distinct from automation, can revolutionise Third-Party Risk Management by helping organisations identify, evaluate,manage, and mitigate the emerging risks associated with the widespread adoption of AI.

Within this new chapter, an insightful journey unfolds, dissecting the intricate regulations and guidelines governing Third-Party Risk Management (TPRM).

Third-party risk management (TPRM) is a strategic discipline that revolves around the identification and mitigation of potential risks associated with external engagements.

The European Union has established a robust legal and ethical framework to govern the deployment and use of Artificial Intelligence (AI) technologies across the Member States, supported by the Treaty on the Functioning of the European Union (TFEU), Articles 16 and 114, and the Charter of Fundamental Rights of the European Union.