Case Study: Financial Market Monitoring via Social Media and Web Extraction Advanced Analytics Platform
In a recently published case study, Cambridge Suptech Lab outlines the development of an artificial intelligence (AI) and machine learning-powered monitoring prototype designed to enhance the supervisory capabilities of Peru’s Superintendence of Banking, Insurance, and Private Pension Funds – Superintendencia de Banco, Seguras y AFT (SBS).
The case study offers an overview of how the new prototype provides a tool for financial market monitoring via social media and web extraction to enhance supervisory processes. It goes beyond traditional sentiment analysis by enabling the categorization of information through advanced text analysis techniques to gain insight into what users say online, revealing trends, anomalies, and other significant patterns.
FNA worked with SBS to develop the tool with the support of Cambridge Suptech Lab and Winnow Technologies, following FNA’s selection as one of the three winners from the Cambridge Suptech Lab’s launchpad competition – an initiative supported by the Bill and Melinda Gates Foundation and the Asian Development Bank, to accelerate digital transformation in consumer protection and supervision.
With the prototype developed as a result of the competition, the organization can move towards more proactive and preventative oversight activities.
“The availability of timely and comprehensive textual data enables us to stay ahead of emerging trends with potential issues within the consumer landscape. By harnessing this data, we can identify patterns, anomalies, and areas of concern in real-time, enabling us to take proactive supervisory measures,” commented Nicolas Tirado Vielela, Market Conduct Analyst at SBS.
