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 ...

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 ...

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 ...

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 ...

Bryan Kelly, an internationally recognized scholar in financial economics whose research explores machine learning in finance and economics, has been appointed the Frederick Frank ’54 and Mary C.

Banks/Fintechs can utilize Federated Learning to provide tailored finance offers (for example, credit cards or investments) ...

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 ...