Treat customers like people with individualized risk assessments, based on unique properties instead of group-based averages.
Develop new processes to support agile underwriting, non-intrusive claims handling, and intuitive customer interaction.
Expand market share by including customer segments that don’t conform to traditional assessment criteria.
Instead, draw upon external data sources to provide underwriting decisions and pricing that reflect the specificity, nuance, and diversity in human life.
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.
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.
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?