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Unleashing the power of artificial intelligence in quality control

"Quality control labs rely on analytics to ensure product safety. We're using new, exciting software approaches to enable faster, more efficient, and more accurate results."

Tom Lillig, VP, GM, Agilent Software Informatics Division

Photo of people in lab

  • Agilent is on the forefront of leveraging software to fuel lab productivity—testing and proving the value of AI in day-to-day operations.
  • Artificial intelligence (AI) can add significant value to the analytical process. AI can manage repetitive tasks like back-ups and data review, so the scientists are able to focus on higher value tasks.
  • In pilot testing, data review, a task that used to take nearly an hour to complete, was reduced to a few minutes, using AI capabilities.
  • We're seeing how AI helps decrease turnaround time, reduce lab operational costs and improve the quality of work for scientists to help ensure things like quality control and product safety.

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