AI-Ready Manufacturing: Data, Quality, and the Digital Future
Today, manufacturing is largely shaped by supply chain volatility, complex labor dynamics, and—like most global industries—the rise of AI.
Today, manufacturing is largely shaped by supply chain volatility, complex labor dynamics, and—like most global industries—the rise of AI.
This illustration featuring earthquake simulation data from the San Francisco Bay Area shows how seismic energy is shaped and directed by local geology, and how buildings and infrastructure respond to intense ground shaking.
Simulations still can’t predict precisely when an earthquake will happen. Still, with the incredible processing power of modern exascale supercomputers, they can now predict how they will happen and how much damage they will likely cause.
Software selection, implementation, and ongoing maintenance are critical stages in the life cycle of biomedical software systems such as asset and calibration management platforms.
What if your quality system could detect and initiate corrective actions for equipment deviations before they affect product quality?
In July 2024, CrowdStrike rolled out a software update that crashed more than 8 million Windows systems worldwide. The faulty release disrupted hospitals, grounded flights, halted banking operations, and affected government services.
A vital concept from the chemical process industry, management of change (MOC) relates primarily to safety.
Over the years, there have been many developments in systems and technologies that have helped industries redefine how businesses are structured.
Imagine you’re a student trying to pass a challenging class, one where the entire grade rests on the big test at the end of the semester. Fortunately, the professor handed out a syllabus that outlines exactly what will be on that final exam.
Take two aspirin and call me in the morning: If only prescribing medications were as simple as that.
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