SupTech Tools for Social Media Monitoring
As consumers increasingly turn to social media to share experiences and seek information about financial products, fraudulent schemes and misleading advertising are spreading faster than traditional supervisory methods can detect. This blog proposes a SupTech solution for the Central Bank of Egypt using web scraping, AI-powered sentiment analysis, and NLP to proactively monitor social media for market conduct violations and consumer risks.
Revolutionising Liquidity Risk Supervision: How Machine Learning is Driving Real-Time Crisis Prevention
Traditional liquidity risk measures like Basel III are too static to detect emerging threats in real time, as demonstrated by crises from 2008 to COVID-19. This blog presents the Bank of Tanzania’s machine learning-based Bank Liquidity Risk Supervision (BLRS) solution, which can retrain and predict liquidity risk classifications in under two minutes.
Smart Regulation: Enhancing compliance outcomes in the financial sector through native digitalisation of regulation
Financial regulation is caught in a vicious cycle where information gaps drive more complexity, which in turn makes compliance harder — a problem that native digitalisation can break. This blog traces the evolution from basic machine-readable regulation (MRR) to fully executable rules-as-code (RaC), examining the benefits, challenges, and cross-country experiments underway in New Zealand, France, the UK, and beyond.
