In a recent study published in PLOS One, researchers developed a causal model to analyze severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral load distribution as a function of patients’ ...
4dOpinion
Beyond Prediction: Why Financial Services Needs Causal Architecture at the Core of Its AI Models
The results have been impressive by the metrics that matter to technology teams: accuracy rates, processing speeds, cost ...
Marketers have long been trained to think in linear terms. Historical data goes in; forecasts come out. Marketers are trained to think in linear terms. Historical data goes in; forecasts come out. The ...
Data Poem, a developer of cutting-edge artificial intelligence models for business orchestration, today announced the launch of POEM365, a large causal AI model designed to transform how large ...
10dOpinion
Why Financial Risk Models Must Go Causal
Risk Culture is an upstream causal driver of nearly every downstream risk category — because how people behave determines how ...
With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...
Twenty-first century manufacturers post-COVID-19 have been facing significant challenges across their functions in supply chain, risk, operations, and customer experience. Threats by new (often more ...
We know that correlation does not imply causation, but careful analyses of correlations are often our only way to quantify cause and effect in domains ranging from healthcare to education. This ...
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