For this month’s Lexington Section meeting we have a live webcast presentation – Crafting the Perfect Prompt for ChatGPT and AI Tools by Zac Jarrard (60 minutes)
Speaker – Zac Jarrard Lexington Section Host- Steve Ross
Zac Jarrard short bio:
Zac Jarrard is the President of Jarrard Consulting, LLC. The company is dedicated to bringing out the best in people through team building activities, project management training, and workshops to improve intergenerational communication at work. Zac holds three master’s degrees from Park University and several certifications. His research interests include gamification, project management, and working across different generations. Outside of his company, Zac is heavily involved in the community. He is a proud ASQ senior member who serves as the Past Chair of the Kansas City Section. Zac is an Eagle Scout who aspires to make the world a better place for everyone.
Topic of presentation:
Title: Crafting the Perfect Prompt for ChatGPT and AI Tools
Overview: There are several powerful AI tools at our disposal. Some businesses and organizations are starting to adopt them. However, one challenge is asking the right question or prompt to get a useful response. This takes time and could eventually become part of the quality management process. This session will 1) define AI prompts and examine a framework for developing strong prompts 2) provide a hands-on activity where attendees create prompts 3) share lessons learned from my experience developing prompts for AI tools.
This ASQLEX 0911 section monthly meeting is a live webcast meeting that begins at 12PM EST on Thursday, August 21st. If you plan to attend, please email reservation to Mark McDonald (Mmcdonald@hendrickson-intl.com) by noon Tuesday, August 19th .
For the August meeting, we will have extended invitation to all ASQ Sections in the East South-Central Region. In addition, we have extended an invitation to Maritimes, Canada section 0411.
This ASQLEX 0911 section monthly meeting is a live webcast meeting that begins at 12PM EST on Thursday, August 21st. If you plan to attend, please email reservation to Mark McDonald (Mmcdonald@hendrickson-intl.com) by noon Tuesday, August 19th .
For the August meeting, we will have extended invitation to all ASQ Sections in the East South-Central Region. In addition, we have extended an invitation to Maritimes, Canada section 0411.
The Zoom virtual Meeting link for this live webcast meeting is https://us06web.zoom.us/j/84736706675?pwd=SgObJAwKXs75P3oMIzgBenfahqQPeQ.1 and it will also be sent out to those who register with Mark McDonald. Note: A 0.1 RU will be given for section meetings that you attend. However, please use the email registration so that the Section has an attendance record for sending our RU credits. When you join the zoom meeting mute your computer microphone during the presentation.
Door Prize: A random number is selected from the people attending the section webinar meeting. The winner will be able to choose a book or standard from the ASQ Quality Press with member cost of $50 or less. Doug Howard, Treasurer, will purchase item and send to member mailing address. In June 2025, congratulations to Carrie Forrest who won the door prize.
Meeting Agenda:
11:50 -12:05 pm Log in and Section welcome, webinar and speaker intro
12:05 – 1:00 pm Presentation and then Q&A with members.
Section Leadership is proposing we have about 5 minutes of member engagement before we start our webcast.
Modern Quality Tools
By Steve Ross
This piece started out as a brief view of use of AI in quality auditing but along the way found that quality professionals will have new requirements overall as AI and machine learning become more widespread.
There will be a need to upskill with machine learning fundamentals, an understanding of how to manage large data sets and ultimately to either learn to program or have a close relationship with those who are integrating AI solutions into the QMS. Machine learning is part of the AI domain and uses algorithms to identify patterns and relationships using historical data to make predictions and, in some cases, independent decision making.
The author attended an ML seminar during WCQI, and it was eye-opening how complicated it really is. Many mathematical methods are used to collect, clean, classify and make the data set appropriate to the conditions it is monitoring. In most cases a data scientist will be needed to know which algorithms to apply. A minimum of 500 data points is needed to train the model and with 10,000 a more reliable outcome is achieved.
Data analytics uses data and statistical techniques to predict future quality outcomes in manufacturing for example. It uses some similar approaches to ML, in data collection, predictive modeling and decision making. This is a tool which quality professionals will be using in the near future. Also, like ML, it will require an upskilled quality person knowledgeable in domain expertise and statistical tools. This would be especially useful in the area of nonconformance resolution. There is such a gray area of answers to the issues found on the factory floor, and a more scientific approach to the solution would be beneficial. While the auditor may find the problem, it is possible that he/she is the upskilled quality person in the section also.
Sources:
WCQI Pawan Kumar, ML in manufacturing
“Impact of AI of auditing” Jordan
“Emerging technologies for QC processes in 2025” Kiuey.com
“How is AI being used in manufacturing” IBM.com
“Predictive quality analytics” 6sigma.us
“How Predictive Quality Analytics Works” qualitymag.com
CONGRATULATIONS to ASQ LEXINGTON SECTION 0911
On WINNING the 2024 PEP BRONZE LEVEL AWARD!!!
Presented at WCQI to John Simson, Section Chair on May 4, 2025
· Please note Keith Allen officially transitioned to Treasurer from Doug Howard in July 2025.
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