DEI Retreats
Once hailed as both an ethical mandate and a strategic necessity after the upheaval of 2020, diversity, equity, and inclusion (DEI) initiatives now face intense scrutiny and pushback.
Once hailed as both an ethical mandate and a strategic necessity after the upheaval of 2020, diversity, equity, and inclusion (DEI) initiatives now face intense scrutiny and pushback.
The pharmaceutical industry and the medical device industry have unique ways of defining terms like deviation and nonconformance. Often, this leads to confusion about how events should be classified and managed.
If you’re a corporate employer, you must know the importance of training and its effects on your firm’s growth. Teaching employees with the help of corporate training is an essential step that every firm should follow to reach its goals.
Researchers use a technique called resonant inelastic X-ray scattering, or RIXS, to study the electronic behavior of quantum materials.
What happens when workers get a say in evaluating their managers? At one Chinese carmaker, the results speak for themselves: happier teams, better leadership, and a noticeable boost in productivity—without a single downside.
Keeping quality high in today’s fast-moving production world is a big challenge. Traditional quality checks have worked well, but they can be slow, require a lot of work, and are prone to mistakes.
How do health and safety incidents affect your business? If a worker is injured or becomes ill, what kind of disruption does it cause? Is your productivity affected? What’s the effect on other workers in terms of workload or psychological health and well-being?
The Clarkson University Clean Snowmobile Team visited Creaform to refine and enhance its snowmobile designs with 3D scanners and scan-to-CAD software.
Clarkson University is a private national research university in upstate New York and a leader in technological education.
One transformative strategy that can revolutionize how organizations embrace generative AI is
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.
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