The integration of AI and simulation models will help the adoption of former across business and society. As we get closer to AI becoming part of the real world, simulation models must adopt AI as well. How Simulation and AI will be integrated and why it should be used? AI is already in use many business and industrial processes and if we take an example of digital supply chains, we get to know that these systems already use AI and they will eventually include AI in their simulation models. A very good example could be to allow better testing and forecasting, AI components need to be directly embedded in the simulation models as well as the perfect tool of simulation software . Simulation modeling can be ultimately used to create meta-models by using machine learning and intelligent sampling for agent-based models because these models have plenty of parameters and to really look into these permutations, impractical run times are required. AI can be used to optimize these industries and
This blog is treasure for reservoir engineers and for those who are interested in how oil and gas production forecasting is done.