We hear about AI every day, but the truth is, not all AI is the same. What if you could have AI that learns directly from your subject matter experts, combining their knowledge with traditional data to understand how your business really works? Imagine having an AI capability that does the heavy lifting in near real time, pinpoints what is wrong, weighs each possible response, and shows you the action that delivers the strongest outcome with reduced risk and higher profitability.

That is the power of Causal AI.

Generative AI, Traditional Data AI, AI Workflows, Causal AI, and Agentic AI each solve different classes of problems. In energy, where complexity is high and decisions carry enormous risk, choosing the wrong type of AI can waste investment and weaken trust. Choosing the right combination, anchored by Causal AI, can transform operations, safety, decision-making, and other complex challenges through cause and effect.

• Understand the five main types of AI (Generative, Data, Workflows, Causal, Agentic) and how each one contributes to an integrated Agentic AI system 
• See how Causal AI combines expert knowledge with data to reason through cause and effect in complex operations 
• Learn how AI types work together, with Causal AI serving as the reasoning layer for real-time decision support 
• Explore practical use cases in energy that reduce risk, accelerate decisions, and increase profitability