Tag: Machine Learning

AI in wealth management: closing the implementation gap

Despite widespread recognition of artificial intelligence as the defining technology of our era, the wealth management sector remains caught in a frustrating paradox: ambition...

4 check fraud trends in 2026

Check fraud accounts for 30% of all fraud losses in the US, second only to debit card fraud, and shows no sign of slowing. Hawk,...

How design transforms AI potential into investigator impact

Artificial intelligence has dominated the conversation in financial crime compliance — but there is a quieter, equally critical factor that too often gets overlooked:...

Fingerprint upgrades fraud detection with AI scoring

Fingerprint, a leader in device intelligence for fraud prevention, has announced the addition of AI-powered recommendations to its Suspect Score solution, marking a significant...

AccuQuant raises $20m to boost AI financial infrastructure

AccuQuant, a FinTech platform focused on artificial intelligence and data-driven technologies, has secured $20m in a new funding round led by investors from the...

Why agentic AI is closing the financial crime gap

A new breed of AI system is rapidly changing the way financial institutions approach crime prevention, according to SymphonyAI. Unlike the rule-based tools that have...

Digital communications governance: AI in action

Artificial intelligence has moved well beyond buzzword status in financial services. It is now embedded in the day-to-day processes firms use to manage, monitor...

Ortec Finance’s GLASS PRISM targets insurance portfolio optimisation

Ortec Finance has unveiled GLASS PRISM, a next-generation strategic asset allocation (SAA) optimisation tool designed specifically for insurance asset managers.

Ortec Finance’s GLASS PRISM redefines insurer portfolio strategy

Ortec Finance has launched GLASS PRISM, an artificial intelligence-powered Strategic Asset Allocation (SAA) tool built to help insurers optimise their investment portfolios in ways...

Leveraging NLP for alpha extraction in financial markets

Text-based data has long been a valuable source of alpha for both discretionary and systematic traders, but a persistent tension has existed between the...

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