While AI adoption is global, the study highlights clear regional differences shaped by regulation, market structure, and risk ...
While sustainability is frequently mentioned in policy discourse and regulatory frameworks, the study finds that it remains weakly embedded in the core of AI and machine learning research in banking.
For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...
Khrystyna Voloshyn, Data Scientist, Tamarack Technology Scott Nelson, Chief Technology and Chief Product Officer, Tamarack ...
OppFi posts a record 79.1% auto-approval rate as AI-driven Model 6 lifts revenues and margins, raising questions about ...
India is rapidly establishing itself as a premier destination for sophisticated, model-driven trading strategies, with the ...
Tech Xplore on MSN
Model steering is a more efficient way to train AI models
Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...
In early January 2026, coverage highlighted how Lemonade is using machine learning and AI to power a fully digital, scalable ...
By adjusting credit availability based on real time financial trends, banks can minimize exposure before a situation ...
Pole Star Global, a leader in maritime intelligence and regulatory compliance solutions, announced the launch of the Maritime ...
News-Medical.Net on MSN
AI trained on sleep data predicts future disease and mortality years in advance
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
YouTube on MSN
Krishnam Narsepalle: Architecting the future of credit and financial risk data systems
Krishnam Narsepalle argues traditional credit systems must evolve into event-driven architectures for real-time risk ...
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