Machine Learning and Simulation
Machine Learning and Simulation
Over the last decade the combination of big data and artificial intelligence has proved fruitful for industry leaders seeking to extract value from their investments in IoT networks and take advantage of cutting-edge machine learning algorithms. What’s more, companies have combined their data-driven AI tools with modeling and simulation. This combination of technologies has, in turn, led to significant gains in predictive and prescriptive analytical power, offering a means to cut through the noise and make optimal decisions.
The complementarity of artificial intelligence and simulation, though clear, is amplified further when the industrial systems are complex. These complex systems – otherwise impossible to predict with any real accuracy – can now be leveraged to their full potential and a return on the investment in data finally realized.
This white paper outlines the complementarity of machine learning and simulation for complex industrial systems and explains the benefits of combining the two to achieve truly 360° prescriptive analytics.
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by Pierre-Alexis Gros and Nadia Hospital
About Cosmo Tech
Cosmo Tech is a simulation software provider of Simulation Digital Twin solutions
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