the work is that optimizing to make the correct decision generally involves understanding whether a causal effect is above … perspective---that confounding does not affect causal effect estimation and causal decision making in the same way---will help … improve the chance of success of future methodological developments for automated decision making …

learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data …,” and are a natural fit to analyze rich media content, such as text, images, audio, and video. Examples of current marketing …

-driven models now characterising marketers' decision making. Key examples of heuristics within marketing automation are referenced …, including customer clustering, recommendation systems and programmatic advertising. Marketing Automation and Decision Making …"The ever-evolving marketing technologies now include the extensive use of advanced AI with important implications for …