Big data is transforming the way financial institutions respond to global uncertainties, providing predictive insights that help cushion markets against geopolitical shocks and economic crises.

Learn about model risk, its causes, management strategies, and real-world examples from financial industry pitfalls. Unlock ...

In this contributed article, Hassan Mohamed, a London-based analyst specializing in financial operations and credit management in EU markets, explains where to hit in any organisation in order to ...

Humans are creating data at an exponential rate. In fact, 90% of the data in the world has been created in the past 2 years according to a 2015 IBM study. In the same study, it was estimated that we ...

Forbes contributors publish independent expert analyses and insights. Bridging the narrowing divide between TradFi and FinTech. On first blush, two of the biggest headlines in finance—subprime auto ...

This insideAI News technology guide co-sponsored by Dell Technologies and AMD, insideAI News Guide to Big Data for Finance, provides direction for enterprise thought leaders on ways of leveraging big ...

In today’s dynamic global economy, financial institutions are increasingly confronted with uncertainties that defy historical precedent. Traditional stress testing long reliant on past market data ...

Discover essential risk assessment methods, including qualitative and quantitative analyses, to make informed investment ...

Fraud detection is no longer enough to protect today’s financial ecosystem. As digital transactions increase, banks require ...

In financial services, risk exposures are shifting faster than ever. Credit risk can change in days, fraud patterns evolve overnight, and new regulations arrive with little warning. Yet risk ...