Reskilling and Retraining the Water Technology Workforce: An Agentic Generative AI Framework for Water Purification, Nano‑MEMS, and Curriculum Development
Keywords:
Agentic generative AI; water purification; nano-MEMS sensors; desalination; membrane science; workforce reskilling; digital twins; engineering educationAbstract
The rapid digitalization of water infrastructure is bringing artificial intelligence, advanced sensing,and membrane materials science into routine water treatment practice. At the same time, utilities,regulators, and training institutions face a persistent workforce challenge: many operators, engineers, and managers are being asked to adopt data-driven tools without a coherent educationalpathway that links AI literacy to real treatment workflows
References
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