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 for that there is another key opportunity in simulation modeling.
When considering human behavior and decision making, deep learning is considered and in this such case, components should be developed to replace rule-based models. How this should be achieved is when deep learning components can be used to reflect the real system and that can only be achieved through simulation models or there can be a second route which is to use simulation models to train AI components. Simulation models are not only the perfect tool but also a powerful tool to help deploy deep learning int the real world and that can be achieved by generating accurate data for neural network training. If we talk about simulation software then it’s the perfect example that provides a dynamic environment for analysis of computer models.
AI and Simulation – How the business and industry will be affected?
As a society, we have moved far away from AI being associated with science fiction dystopias because the acceptance of AI in our daily lives is all the proof anyone needs. For example, hi, Alexa! is a household name and has a commonplace in our lives.
Talking about AI and simulation in today’s business world, and the first thing that pops in our minds is machine learning. Machine learning can easily process large amounts of data in no time and will get better over time. Data modeling and simulation software are also used in this process to make everything effective.
Then there is deep learning that is more of an advanced function and it is normally used in cases such as, fraud detection. It can disrupt your core business and to support the argument many accounting and law firms have taken up process and automation and robot lawyer has helped them overturn 375,000 parking tickets.
Analytics, machine learning, and simulation modeling can help innovate new services and help develop products such as Google Assistant and Amazon’s Alexa, and all three aspects of AI and simulation modeling can be used by companies by applying big data an enable new services for their customers by data modeling.
AI isn’t here to replace human intelligence or ingenuity for that matter, rather AI is here to be the supporting tool.
What does it mean for the worker?
With all the advancements that come with AI and simulation models, the daunting question should be asked that will machines drive humans into obsolescence? Many experts deny that AI will be able to automate millions of jobs that will eventually make millions of people unemployed, but there are other experts who think that is precisely the case and AI will be seen as a pressing problem in the near future. For now, we know that the future is coming quickly and AI is on the horizon and it will certainly be a part of the future that we are building for ourselves.
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