Use granular insights of digital behavior to identify subtle fraud patterns and bogus claims.
Nurture your machine learning models with automated feature engineering.
Determine thousands of drivers of fraud exposure to recommend highly effective preventative actions.
Capture anomalies with rapid iterations and seamless adaptation to changing conditions.
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.