A recent article from McKinsey & Company suggests that AI can be used to accelerate process optimization, though many plants are not ready. Since automation intelligence and informed decision making cannot happen without adequate inputs, McKinsey suggests the first place for improvement is in sensor deployment—in calibrating and cataloging both new and existing instrumentation devices. The McKinsey report found that 75% of plants have instrumentation in place that controls critical process variables, but only 70% of these devices are properly calibrated and cataloged. [1]