The manufacturing edge is the hardware and software constellation on the plant’s premises. It encompasses the full range of end point devices and often a localized data center for storing data and running analytics, monitoring, and other applications. But organizations are implementing edge strategies that do not consider AI and GenAI requirements. The results are inefficient utilization of edge resources, needlessly complex machine learning models, and impractical use cases, all of which lead to slow or suboptimal adoption by end users. To deploy and optimize AI on the edge, manufacturing IT …