The Monetary Authority of Singapore (MAS) announced today that the first phase of its Veritas initiative – a framework for financial institutions to promote the responsible adoption of Artificial Intelligence and Data Analytics (AIDA) – will commence with the development of fairness metrics in credit risk scoring and customer marketing. The 25-member consortium will publish a white paper documenting the metrics and release an open-source code to enable financial institutions to adopt the fairness metrics in these two areas by the end of 2020.
A-Team Insight Briefs
Recorded Webinar: Data Science & Analytics – New approaches and capabilities for driving business analytics
Financial institutions are under pressure to maximise the insight they can derive from their data. With data spread across multiple silos and stored in both structured and unstructured formats, embedding analytics into business processes can be difficult and calls for new approaches to data management. Open source database and data processing technologies, as well as...
Machine learning (ML) has become a core component of financial institutions’ business strategy, accelerated by Covid-19 and driven by use cases across risk, trading and investment. Rising numbers of data scientists embedded in the business lead the way, working with increasingly sophisticated tools and moving into deep learning. The challenge to successful ML projects is...
The highly successful Data Management Summit USA Virtual was held in September 2020 and explored how sell side and buy side financial institutions are navigating the global crisis and adapting their data strategies to manage in today’s new normal environment.
This eighth edition of A-Team Group’s Regulatory Data Handbook is a ‘must-have’ for capital markets participants during this period of unprecedented change. Available free of charge, it profiles every regulation that impacts capital markets data management practices giving you: A detailed overview of each regulation with key dates, data and data management implications, links to...