Tag: Machine Learning

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...

Why KYC is shifting to continuous risk monitoring

The know your customer (KYC) market is undergoing a fundamental structural transformation, according to SymphonyAI, moving away from periodic compliance checks towards AI-driven, continuous...

AI supervision: Cutting false positives the right way

AI-driven supervision tools are now central to modern RegTech strategies, particularly in communications surveillance and misconduct detection. Yet as firms invest in AI to...

Why 99% AI accuracy can mislead compliance

AI is rapidly reshaping supervisory controls across financial services, with 94% of firms either deploying or planning to deploy AI-based detection tools. From communications...

FinTech Samaya AI wins backing from NVentures

Samaya AI, an AI platform for financial services focused on building advanced reasoning agents for high-stakes investment workflows, has launched a new architecture designed...

How AI is reshaping AML compliance in modern banking

Banks are under growing pressure to keep pace with increasingly complex financial crime. Transaction volumes continue to rise, laundering techniques evolve quickly, and legacy...

Bridging the engagement gap in online trading

Retail brokers and exchanges face a familiar problem: attracting new traders is expensive, while keeping them engaged is harder still. With high acquisition costs and a steep learning curve for first-time traders, onboarding has become a make-or-break moment for trading platforms seeking sustainable growth.

Ensembling AI models to improve compliance risk detection

Ensembling, or the practice of combining multiple AI techniques, is becoming a cornerstone of modern risk detection in financial services, as firms grapple with...

Enterprise AI in 2026: scaling is a people problem

Enterprise AI in 2026 is no longer defined by whether the technology works. Across leadership teams, the more pressing question has shifted to why...

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