Financial institutions are expanding predictive analytics beyond risk management to anticipate customer needs, strengthen ...

Plaid, the network that powers digital finance, today unveiled new AI models that help financial firms make better lending decisions, catch more fraud, and reduce payment risk, as part of its annual ...

In 2011, the Centers for Medicare and Medicaid Services introduced the Fraud Prevention System, a series of predictive algorithms designed to ferret out improper Part B payments that in its first ...

Finance operating model transformation helps CFOs improve data, AI adoption, controls and enterprise decision-making as business demands accelerate.

Finance outsourcing is extending into judgment-intensive activities, including financial planning and analysis, and companies are combining outsourced services with shared services, global capability ...

In today’s dynamic business environment, organizations are overwhelmed by vast amounts of data, yet the challenge remains in effectively leveraging this data to inform strategic decision-making. A ...

The environment under which contemporary financial institutions are operating is that of complex derivatives structures, counterparts, which are interdependent and fast changing market environments.

The modern financial system operates through technology, which serves as its essential core for building trust, achieving operational efficiency, and ensuring system stability. The real challenge ...

Ant International has introduced Falcon Time-Series Transformer (TST) AI Model 2.0, its most advanced TST model so far designed to deliver more accurate forecasting in real-world FX risk management of ...

Predictive analytics allows data professionals to identify trends, forecast outcomes and test assumptions using data. When these capabilities are applied to simulation modeling, they make models more ...