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.

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 ...

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 agentic AI-based approach to end-to-end bug resolution using both error logs and waveforms.

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 ...

A few decades ago, simply knowing how your business was performing was a competitive advantage. Before computers, tracking and analyzing, even a handful of business metrics required dozens of people.

At one stage or another, all projects are subject to risks and being able to isolate problems can be tricky. Knowing how to conduct a root cause analysis can help your teams get to the source of each ...

Shuguang Wang (City University of Hong Kong), Qian Zhou (City University of Hong Kong), Kui Wu (University of Victoria), Jinghuai Deng (City University of Hong Kong), Dapeng Wu (City University of ...