Risk Management
Ninety days to implementation vs. 12 to 18 months with traditional systems: That’s not just an incremental improvement—it’s a complete reimagining of what’s possible in life sciences quality management.
In the highly regulated life sciences industry, quality management system (QMS)…
When an issue arises, it’s important to take quick action. Whether that means launching a software patch, pulling a batch, or halting the use of a reagent, it’s critical to tackle the immediate problem.
But just as critical as “How do we fix this?” is “How do we make sure this…
Today, manufacturing is largely shaped by supply chain volatility, complex labor dynamics, and—like most global industries—the rise of AI. Adopting AI technologies on the shop floor can help manufacturers minimize operational costs, mitigate risk, and optimize processes, which drives efficiency…
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.
Imagine a colossal earthquake strikes…
Software selection, implementation, and ongoing maintenance are critical stages in the life cycle of biomedical software systems such as asset and calibration management platforms. Yet few industry resources provide detailed, practical guidance for managing these processes effectively.
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What if your quality system could detect and initiate corrective actions for equipment deviations before they affect product quality?
It’s a compelling vision—and one that’s becoming increasingly achievable through AI-enabled automation. But let’s be clear: We’re not there yet.…