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 ...

Discover what black box models are, their applications in finance and investing, and examples of how they drive decision-making without revealing internal processes.

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 ...

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 ...

Digital transactions have emerged as a dominant force in today’s global commerce sector, empowering businesses and financial ...

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 ...

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

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 ...

Machine learning (ML) has rapidly become one of the most influential technologies across industries, from healthcare and ...