Discussing how Causal AI methods are emerging as a means to go beyond diagnosis and prediction to prognostication, enabling decision-makers to objectively analyze “what-if” scenarios
Exploring how by aiding in the discovery of relationships in data and creating a means to integrate SME knowledge into predictive models, causal AI-based applications can help operating companies to optimize supply chains, assess safety risk, perform root cause analysis, and execute production plans
Analyzing the opportunity presented by this emerging technology, and the requirements for its development and implementation to generate value in oil and gas
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