Causal Ai Makes For More Accurate Decision-making

Artificial Intelligence (AI) is increasingly being used to augment IT operations, with the aim of helping teams maintain oversight and control over highly complex and constantly changing environments. However, the accuracy of AI-driven insights could be improved by using a different model. Correlation-based Machine Learning algorithms are built on the assumption that the future will look a lot like the past, but this may not always be the case. Causal correlation analysis models, on the other hand, are better able to identify the root cause of issues and performance bottlenecks.