ML enhances decision-making in digital banking by processing vast amounts of structured and unstructured data at scale. Key ...

Among the key uses of AI in compliance, and in general, is the fight against money laundering. Machine learning algorithms ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

WEST LAFAYETTE, Ind. — Purdue University is offering a new series of Data Science in Finance courses focusing on applications of data science and machine learning to solve modern financial problems ...

In the rapidly evolving landscape of financial services, machine learning (ML) has emerged as a transformative force, reshaping traditional practices and driving operational efficiency while enhancing ...

The integration of machine learning technologies has emerged as a game-changer in several industries, and the financial sector is no exception. Amongst its many applications within financial ...

In the realm of anti-money laundering (AML) and counter-terrorist financing (CTF), the deployment of artificial intelligence helps scour transaction networks to identify hidden patterns that indicate ...

My company, Kickfurther, has carved out a niche by connecting businesses in need of funding for their retail inventory with buyers of that inventory. A key component of this business model is the ...

The Review of Financial Studies, Vol. 33, No. 5, Special Issue: New Methods in the Cross-Section (May 2020), pp. 2223-2273 (51 pages) We perform a comparative analysis of machine learning methods for ...

LOS ANGELES, CA / ACCESS Newswire / September 9, 2025 / The machine learning market reached $204.30 billion in 2024 and is projected to reach $528.10 billion by 2030; however, 80% of machine learning ...