Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...

Our foray into causal analysis is not yet complete. Until we define the methods of causal inference, we can't get to the deeper insights that causal analysis can provide. This article details many of ...

The surge in enterprise AI has fueled interest in causal analysis. In this piece, I explore the threads that bind cause and effect - and how they can be applied across a range of industry scenarios.

hootfolio, which provides “causal analysis” supporting corporate decision-making through Causal AI, announced on the 4th raising Series A funding through third-party allocation of shares to Quantum ...

An accident must occur before root cause analysis can be performed, making it a reactive versus a proactive tool when it comes to improving safety. When accidents happen, organizations analyze them to ...

Security incidents don’t fail because of a lack of tools; they fail because of a lack of insight. In an environment where ...