Infrastructure Impacts Data Analytics

Semiconductor data analytics relies upon timely, error-free data from the manufacturing processes, but the IT infrastructure investment and engineering effort needed to deliver that data is, expensive, enormous, and still growing. The volume of data has ballooned at all points of data generation as equipment makers add more sensors into their tools, and as monitors are embedded into the chip... » read more

Data Vs. Physics

The surge of data from nearly ubiquitous arrays of sensors is changing the dynamics of where and how that data is processed. There is simply too much data to send everything to a centralized processing facility in the cloud, and even 5G won't provide enough bandwidth to handle all of this data. This has big implications on a much broader scale. Data is valuable. And while clean data is more ... » read more