Is AI in Quality an Evolution or a Revolution?

An Axendia “Straight from the Source” Episode

In our latest episode, Daniel R. Matlis (President, Axendia) sits down with Ed Armstrong (VP of Quality, Vedanta) to cut through the noise and get real about what AI means in Quality.

Image Source: Axendia, Inc.

From paper QMS ➡️ eQMS ➡️ AI-driven insights, the conversation explores:

  • Why AI is a natural progression—not a replacement—for quality systems
  • The critical role of data integrity and governance in trustworthy AI outputs
  • How regulators like FDA and EMA are already preparing for AI-enabled processes
  • What competencies and skills are essential for QA professionals using AI?
  • Practical ways AI can help teams focus on what matters, while humans still do the “gemba walks”

As Ed put it: “AI doesn’t replace foundational principles in QMS—it enhances them.”

In Brief

Tune in to hear how industry leaders are approaching AI with pragmatism, innovation, and a focus on continuous improvement.

For candid insights on how policy, technology, and global dynamics are reshaping life sciences, follow Axendia to stay informed. No spin. No headlines. Trusted Life Science Advice-“Straight from the Source”.

To hear the full discussion, listen to the episode here.

Disclaimer

The views expressed in this post are those of Axendia or our guests and do not necessarily reflect the official policy or position of their organizations. All content is provided for informational purposes only and should not be construed as regulatory guidance or legal advice.

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The opinions and analysis expressed in this post reflect the judgment of Axendia at the time of publication and are subject to change without notice. Information contained in this post is current as of publication date. Information cited is not warranted by Axendia but has been obtained through a valid research methodology. This post is not intended to endorse any company or product and should not be attributed as such.

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