The Law of Large Numbers and Big Data
In statistics class we learn that we can reduce the uncertainty in our estimates by using more and more data.
Accelerating Hardware Development to Improve National Security and Innovation
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Nominal is an advanced software platform made for engineers building complex systems ranging from fighter jets to nuclear reactors, satellites, rockets, and robots.
Modern fighter jets contain hundreds or even thousands of sensors. Some of those sensors collect data every second, others every nanosecond.
Why Forcing Women Back to the Office Will Cost Us Millions
As companies and government agencies push forward with return-to-office (RTO) mandates, they risk exacerbating a workplace problem that many have failed to address adequately: gender discrimination.
Are Quality Professionals Compensated Fairly?
Amid uncertainty in manufacturing, AI adoption, labor market fluctuations, and salary disparities across industries and geographic regions, quality professional compensation can be difficult to calculate.
Mahr Introduces Mar4D PLQ 4200 Cylinder Coordinate Measuring Machines
(Mahr: Providence, RI) -- Mahr Inc., a leading provider of dimensional metrology solutions, announced its Mar4D PLQ 4200 line of cylinder coordinate measuring machines.
If It Ain’t Broke…
For many hundreds of years, “If it ain’t broke, don’t fix it” has summarized the predominant approach to process operation.
How Digital Twins Affect the Entire Product Life Cycle
Just like in the Star Trek holodeck, digital twins are virtual replicas of the physical world. They enable industries to predict and optimize processes using live data.
A Better DMAIC
Define, measure, analyze, improve, control, goes the mantra used to carry out improvement projects in many companies. In various books, these steps get slightly different interpretations.
Dr. Wheeler’s ‘Understanding SPC’ Seminars Now Online
Dr. Donald J. Wheeler has been one of Quality Digest’s most highly read authors for decades.
Outliers Are Pure Gold!
Outliers are values that don’t “fit in” with the rest of the data. These extreme values are commonly considered a nuisance when we seek to summarize the data with our descriptive statistics.