As industry changed over the past 150 years, how we think about and practice quality has changed:
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In the Inspection era, we asked "Is this good enough?"
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In the Design era, we asked "How do we build this right the first time?"
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In the Engagement era, we asked "Is everyone aligned on what good means?"
But now, we've entered the AI era, where generative tools make creating code and artifacts almost free. This means the ability to differentiate based on quality becomes the scarce resource. In the AI era, we need to ask "Given a thousand possible solutions, which one is right for us?" This indicates that value is migrating from how we produce to how we define and judge the quality of what we produce. We built machines to create, only to discover the harder problem was knowing what we wanted. What now?
AI can now generate a thousand solutions in the time it took you to build one. So why isn't everyone 1,000x more productive?" The companies winning with AI aren't the ones generating the most code the fastest. They're the ones who know what "good" looks like.
As production becomes effortless, defining quality becomes everything.
Venue: Zoom/Live Online Event. Zoom Link will be provided closer to the event date.
Date: Thursday, May 28, 2026
Time: 5:00 pm – 6:00 pm CST
Cost: $15
You do not have to be an ASQ Member to attend. We would love to have you join the conversation.
THE EMAIL USED DURING REGISTRATION IS THE EMAIL USED FOR ALL EVENT COMMUNICATION, INCLUDING THE ZOOM LINK.
Certificates of Completion: Issued via email, after event completion, for .2 ASQ RUs or .2 CEUs
Questions: Please contact Karen Peifer, Committee Chair, at asqmnbmc@gmail.com
Your Speaker
Nicole Radziwill
Dr. Nicole Radziwill is Co-Founder and CTAIO of team-x.ai, focused on unlocking human+AI potential one team at a time. A former SVP and Chief Data Scientist and tenured Associate Professor of Data Science and Production Systems, Nicole is an Academician in the International Academy of Quality (IAQ) a Fellow of the American Society for Quality (ASQ). She has a PhD in Quality Systems, and is the author of data science and statistics textbooks used in 30+ universities, as well as Connected, Intelligent, Automated: The Definitive Guide to Digital Transformation and Quality 4.0 (ASQ Quality Press, 2020) and Data, Strategy, Culture & Power (2024).