A t the 2025 IFT FIRST Annual Event and Expo’s Solutions Showcase session Accelerating Predictive Insight with Causal AI and ...

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 ...

Many applications of causal modeling in marketing involve selection among several competing causal models. The author investigates whether common criteria for model selection such as cross-validation ...

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 ...

A simple summary of a treatment effect is attractive, which is part of the explanation of the success of the Cox model when analysing time-to-event data since the relative risk measure is such a ...