Use public and proprietary data to identify factors influencing bond credit downgrades in the medium to long term, predict transitions at scale, and utilize model outputs versus benchmark index for high yield securities.
Accelerate entrance into new markets by applying accurate risk assessment to traditionally difficult-to-score market segments and streamlining decision-making for more traditional customer segments.
Apply trend analytics to uncover millions of hypotheses, and exploit the ability to fail fast when examining cross-asset class effects on the target. Augment quant research teams to discover novel features for trading strategies and rebuild existing models.
Predict and detect fraud, money-laundering and market abuse by analyzing multiple datasets for anomalies and subtle signals. Identify cohorts of exposed individuals to ensure mitigation of risk to the bank and individuals.
In a world economy overshadowed by the fallout from Covid-19, banks and the FSI industry as a whole are looking for ways to remain relevant, solvent, and at the forefront of clients’ minds. They must do this whilst not being seen as the ‘bad guys’ of the world economy. So far they have managed well. As we look to the future, and the possible shocks yet to come, what role has AI got to play in this mission and the broader digital transformation needed to ensure these organisations stay stable and continue their growth?
Analyze enormous volumes of various data to forecast demand, supply, quality issues, and market trends.
Analyze anomalies and subtle signals in large amounts of data to identify criminal activity.
Ongoing scanning of billions of data points to surface emerging patterns and insights.
Tens of millions of people are excluded from 150 years of financial innovation. A more granular understanding of risk allows banks to serve those who have never been served before, to the benefit of all.
Nearly all existing models have been invalidated by the coronavirus pandemic. They will presumably be invalidated again as the situation evolves as the world recovers. Even after recovery, it is unlikely that we will return to where we started before the crisis began. So how does that affect our data models?
AI analytics helps major banks stay connected to their customers – especially during the dramatic rise of online financial management use. As leading banks apply a range of strategies to navigate the new normal, AI analytics is opening greenfield opportunities to raise profits, combined with agility and ethical responsibility.