Enterprises expose core business functionality to mobile applications through REST APIs built on the architectural principles Fielding and Taylor's (2002) foundational analysis of the modern Web architecture established, principles that assume a...
An AI-assisted early-warning model, however accurate, has no operational value until it is embedded in the systems a credit-risk officer, loan-monitoring analyst, or workout specialist actually uses day to day. For community banks and credit unions, this...
The increasing social and economic influence of Big Data platforms has intensified the demand for decentralized alternatives. However, retrieving and querying information in decentralized environments requires fundamentally different techniques whose...
Transaction monitoring systems required under the Bank Secrecy Act (BSA) generate alert volumes dominated overwhelmingly by false positives, and the resulting investigative burden is not distributed evenly across the financial sector: a large bank can...
Financial organisations increasingly use artificial intelligence to detect fraud, assess creditworthiness, forecast investment conditions, monitor portfolios, and automate regulatory reporting. This critical narrative review examines the decision...
Large Language Models (LLMs) such as GPT-3, GPT-4, BERT, and their domain-specific variants have rapidly transformed software development and a wide range of application domains, including healthcare, finance, e-commerce, travel, cybersecurity, and...
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