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Quality trends in 2026: what quality leaders need to get right

Learn how to thrive as a QA leader in an AI and automation-driven future.

Agenda

09:55
From rule-following to judgment-led quality

29:35
AI and ML going real – the quality perspective

45:38
From data integrity to data accountability

52:10
What QA leaders need to prepare for next

56:50
Q&A

As we move into 2026, AI, automation, and digital systems are no longer future concepts, but instead they are actively shaping decisions, risk, and trust across life sciences. In this training, Kurt In Albon, Principal Consultant at INK Pharma Consult LLC, and Ángel Buendía, Scilife’s Knowledge Manager, will discuss where QA is heading and how QA professionals can prepare to remain credible, effective, and influential in an AI-enabled environment.

 

You’ll learn:

  • Why compliance alone is no longer enough and why judgment-led quality matters more than ever.

  • How AI and ML are already being misused, and what QA teams need to understand to guide them responsibly.

  • Why data integrity is evolving into data accountability in AI-enabled environments.

  • How the role of QA leadership is shifting toward a more strategic, human-led function.