Four ways for banks to integrate emerging financial crimes technology.
Browsing: Predictive analytics
AI, machine learning and alternative data are helping banks and nonbanks alike make faster decisions and expand access to credit. While fair lending concerns about “black boxes” have impeded wider adoption of these technologies, the regulatory environment is shifting.
Understanding the past is important but extracting value from risk reports and applying the results is critical to the organization’s future. Risk reporting has far more to offer.
As account opening goes digital, fraudsters follow. It takes multilayered analysis of divergent data to keep up with them.
A consumer’s most recent score is the most predictive, according to recent research.
A new paper released today by BAFT—ABA’s foreign transaction banking subsidiary—called for increased partnerships between public and private entities to help curb the use of trade transactions to move illicit funds through the financial system.
The rise of prescriptive analytics, the ‘fourth frontier’ in big data.
A new report from the Federal Trade Commission outlines several risks related to discrimination for companies using “big data” to make decisions about credit, employment and marketing.
Despite sluggish adoption of the technology, it is increasingly necessary to ward off competitors, get ahead of regulators and engage customers.