This case study outlines the development of an artificial intelligence (AI) and machine learning (ML) -powered market monitoring prototype designed to enhance the supervisory capabilities of Peru’s Superintendence of Banking, Insurance, and Private Pension Funds Administrators (SBS, for its acronym in Spanish). Building upon this initial prototype, with the support of Cambridge Suptech Lab, SBS and suptech vendor Financial Network Analytics (FNA) –with assistance from Winnow Technologies (Winnow) - developed a solution which, using Artificial Intelligence (AI) and Machine Learning (ML), allows for the segmentation and categorisation of information through advanced text analysis techniques applied to user posts on social media. These enhanced market monitoring tools extend SBS’ capacity, surpassing basic sentiment analysis to discover trends, anomalies, and other significant patterns.
