Artificial intelligence is beginning to bring capabilities once reserved for large corporate finance teams, such as machine-learning cash-flow forecasting, scenario analysis and risk-aware decision support, within reach of small and medium-sized enterprises...
Enterprises have automated business processes for decades using business-process-management (BPM) notations and, more recently, robotic process automation (RPA), but both approaches require every step of a workflow to be explicitly modeled in advance,...
On April 17, 2026, the Federal Reserve, OCC, and FDIC jointly issued SR 26-2, superseding SR 11-7 and introducing a uniform 30 billion U.S. dollar total-asset threshold across all three agencies, replacing the FDIC's prior 1 billion U.S. dollar threshold...
Data quality is commonly understood as a technical challenge requiring measurement, validation, and correction of data errors. However, this perspective overlooks the fundamental socio-organizational dimensions that shape data quality outcomes. This review...
Artificial intelligence depends on large and often high-dimensional datasets, creating privacy risks that are not fully addressed by conventional policy statements. Public agencies and infrastructure operators may process health records, mobility traces,...
Financial risk models can perform well within the institution that trained them yet fail when transferred to another, because institutions differ in customer composition, product mix, data definitions, label-confirmation processes, and operating policy, and...
Cancer struck an estimated 20.6 million people and killed 9.8 million worldwide in 2024, a burden projected to grow to 34 million new cases and 17.5 million deaths annually by 2050, yet only one in three countries currently reports high-quality cancer...
Background. Detecting a manipulated face in a still image depends on two choices made before any classifier is trained: which face-detection front-end locates and crops the face, and which feature-extraction representation that crop is turned into. Rahman...
The integration of artificial intelligence into scientific crowdsourcing platforms represents a paradigm shift in how scientific research is conducted, with profound implications for the relationship between human volunteers and intelligent machines. This...
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