How AI-as-a-Service is perfectly poised to meet next-era production's ramp-up & capacity challenges

Manufacturing and the science of materials are evolving quickly, so the rate of new products and product variations industrials put into the world is increasing. This evolution also means process parameters, which circumscribe the making of things, are proliferating. Meanwhile, the quality metrics of products and components have become more refined than ever before. As a by-product, industrial equipment sensors generate an abundance and complexity of data far beyond the reach of statistical process control -- let alone human capacity. Semiconductor engineers, for example, must contend with petabytes of data daily. And they do so from wafers with chip architectures… [Continue Reading]