Role of analytics & machine learning
Just a heads-up—this section is still a work in progress! I’ll be revising and expanding it soon to make sure it’s as useful as possible. Curious about what’s already done or currently in the works? Check the changelog for updates.
Live modeling systems, by their very nature, generate and process vast amounts of dynamic data from both the physical network (via sensors) and the hydraulic model itself. This data-rich environment creates exciting opportunities for applying more advanced analytical techniques, particularly from the realms of artificial intelligence (AI) and machine learning (ML), to further enhance the capabilities and intelligence of your Digital Twin. This section explores how these cutting-edge approaches can take your live modeling system to the next level.
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