Causal AI
Causal AI is a type of artificial intelligence (AI) that focuses on understanding cause-and-effect relationships, rather than just identifying patterns or correlations in data. Unlike traditional AI, which predicts outcomes based on statistical associations, causal AI aims to explain why things happen and what would happen if certain conditions changed. This allows organizations to make more informed, transparent and reliable decisions – especially in areas like risk analysis, policy-making and strategic planning.
Related Insights
2026 GBS Key Issues
GBS leaders are moving past AI experimentation and delivering real performance impact in 2026. As workloads rise 15% while resources…
2026 Procurement Key Issues
Procurement leaders are turning AI into a measurable impact in 2026. Discover how leading organizations are improving performance as AI…
2026 Finance Key Issues
Finance leaders are turning AI into results in 2026. Discover how top organizations are improving performance as AI reshapes the…
2026 Technology Key Issues
The Hackett Group’s 2026 Technology Key Issues Study shows a clear divide emerging – leading enterprises are redesigning workflows to…