How Causal AI is Unlocking the Secrets Behind ‘Why’—And the Companies Already on Top of It

In a recent podcast, Robert Osazuwa Ness, Senior Researcher at Microsoft, delved into the evolving field of Causal AI, emphasizing its transformative potential. According to Ness, traditional AI—though highly effective in recognizing patterns and making predictions—often misses the mark when it comes to understanding the underlying reasons behind observed phenomena. As Ness explained, causal AI fills this gap by focusing on cause-and-effect relationships, a crucial distinction that could revolutionize industries reliant on deep analysis and robust decision-making. Ness noted that causal AI builds upon Bayesian statistics, incorporating causal assumptions about how data is generated. This allows systems to not only interpret data correlations but to understand the mechanics behind th