Quality Assurance with Ai-Metrix Automated Model Validation

Ai-Metrix Automated Model ValidationAi-Metrix®now offers a fully automated model validation framework, combining real-time tracking with powerful diagnostics based on ASTM D6122 and comprehensive Nelson Rule monitoring. Designed to support high-stakes environments like gasoline blending, this feature ensures your predictive models remain accurate, reliable, and audit-ready as new data flows in.

🎯Smarter Monitoring Starts Here
As your team uploads fresh data to the Ai-Metrix server, our system continuously evaluates model performance using robust statistical tools. A streamlined dashboard gives you instant visibility:

✅ Visual Control Charts – Instantly identify anomalies with trend plots showing ±1, 2, and 3 standard deviations.
✅ Advanced Rule Integration – Choose from Nelson Rules or ASTM D6122 checks to detect early signs of model drift or calibration issues.
✅ Dynamic Model Grid – See all active models at a glance, organized by product grade and property. Click to dive deeper into sample counts and validation metrics.
✅ Flexible Metric Selection – Monitor predicted values, residuals, F-ratios, or Mahalanobis distance to match your validation strategy.
✅ Rule Violations Trigger – Violations can trigger an email to a distribution list for action.

🎯Why It Matters
→ Regulatory Alignment – ASTM D6122 compliance, built-in.
→ Hands-Free Oversight – Continuous, automated validation as data is collected.
→ Proactive Alerts – Catch issues before they affect process quality.
→ Complete Transparency – From calibration sample size to rule violations, everything is traceable and actionable.
→ Real time updates – With the Ai-Metrix calibration power, model updates are available in real time to move the system back into compliance.

🎯Confidence in your models isn’t optional—it’s critical.
Ai-Metrix delivers a smarter, automated approach to model validation that helps your team maintain compliance, ensure process integrity, and make better decisions, faster. Explore the new validation dashboard today and take control of your model quality.

Book a quick demo and see how Ai-Metrix can elevate your operations. info@infometrix.com

“Quality is never an accident. It is always the result of intelligent effort.”
– John Ruskin, English writer (1819-1900)

Bruce R. Kowalski: The Maverick Mind Behind Chemometrics

Bruce R. Kowalski: The Maverick Mind Behind Chemometrics

In this Icons of Spectroscopy article, we take a look at the life and impact of Bruce Kowalski (1942-2012), a pioneering analytical chemist, who played a big role in developing chemometrics—the use of math to make sense of complex chemical data—and his work in data analysis, teaching, and software that has had a lasting influence on both academic and industrial chemistry.

Bruce R. Kowalski, also the co-founder of Infometrix, was a pioneer of chemometrics, known for advancing multivariate statistics and data analysis in chemistry. This article honors his legacy, from shaping chemometric theory and education to co-founding the Journal of Chemometrics. His global impact endures through mentorship, software tools, and leadership in analytical chemistry.

https://www.spectroscopyonline.com/view/bruce-r-kowalski-the-maverick-mind-behind-chemometrics

Chimiométrie XXIV Conference

Chimiometrie XXIV ConferenceVenue: February 26-28, 2024 Géraudière site in Nantes, France Sponsored by: Infometrix, Inc. is one of the proud sponsors of Chimiométrie XXIV Welcome: This meeting brings together academics and industrialists from all fields to promote chemometrics, from data acquisition to analysis and modeling, where sharing of information will be presented through training courses, guest speakers, and a gala dinner. To participate in the meeting or for more information, please visit the website. For any questions, contact chemom2024@sciencesconf.org or info@infometrix.com.

EAS 2021 – Multivariate Lessons for the Analytical Chemist, Scott Ramos

Scott Ramos, recipient of the 2021 EAS Award for Outstanding Achievements in Chemometrics, will give his talk on “Multivariate Lessons for the Analytical Chemist”. Join us November 16th at 11am.

Multivariate Lessons for the Analytical Chemist

The field of chemometrics is a relatively new discipline, with its genesis about 40 years ago. Despite this relatively short history, it is now thriving as a vibrant area of research and practice, finding place in a wide variety of chemical applications. Some of the tools of the trade have found acceptance well outside of chemistry. For example, PLS (Partial Least Squares Regression) has become popular in statistics which was lacking methods for data with highly correlated variables.

Two main thrusts have propelled the evolution of chemometrics: innovation and evangelism. The toolkit available to practitioners is continually being augmented by improvements to current methods as well as creation of new algorithms. But, for the field to succeed, it must reach the hands of those who can benefit: the many analysts who utilize these tools in their daily work.

To meet the needs of already-overworked analysts, working solo or in teams, we can identify at least 3 ways in which multivariate tools can become part of the company work practice: hire a dedicated chemometrician, train one or more of staff members in the use of chemometrics, or contract an outside entity to provide chemometrics services.

Whichever the pathway a company chooses, understanding how best to optimize chemometrics models is paramount to success. This talk will review some of these concepts, covering issues that impact model quality, and will reflect on the viability of automating these decisions.

 

Newsletter #19 – Ai-Metrix and the Potential Economic Impact of its Role in Gasoline Blending Operations

The Aug 2019 Infometrix eNews was recently published. Included in this newsletter:

-Introduction
-Ai-Metrix and the Potential Economic Impact of its Role in Gasoline Blending Operations
-Upcoming Events
-Tech Tip: Validating Chemometric Models
-After Further Review…