Home / Resources / SPC and AI: Defining Roles for Predictive Quality Without Losing Control
SPC and AI: Defining Roles for Predictive Quality Without Losing Control
May 7, 2026
Manufacturers are under increasing pressure to improve quality, reduce costs, respond faster to issues, and manage growing operational complexity. Yet many quality systems still operate reactively, identifying problems only after they occur.
At the same time, AI is rapidly entering the manufacturing quality conversation, often without clear guidance around governance, compliance, or practical implementation.
This on-demand webinar explores how manufacturers can integrate AI into SPC-based quality systems responsibly, without compromising process control or operational confidence.
Rather than replacing Statistical Process Control (SPC), AI should be viewed as an extension of it. SPC remains the foundation for process stability, compliance, and control, while AI introduces new capabilities for pattern recognition, multivariate analysis, and predictive insight.
You’ll gain a practical framework for understanding where AI adds value, where SPC remains essential, and how the two can work together to support more informed and proactive quality management strategies.
What You’ll Learn
- Why SPC remains critical for process control and compliance
- Where AI can improve quality analysis and predictive insight
- How to define clear boundaries between SPC and AI-driven analysis
- Common risks associated with poorly governed AI adoption
- Governance considerations for responsible AI integration
- How these strategies support broader Manufacturing Process Optimization (MPO) initiatives
Why This Matters
As manufacturers move toward predictive quality and more connected operations, understanding how to apply AI responsibly is becoming increasingly important.
This session provides practical guidance for extending existing quality systems deliberately and responsibly, helping organizations improve visibility, responsiveness, and decision-making without sacrificing control.
Who Should Watch
This webinar is designed for manufacturing leaders responsible for quality, operations, process improvement, and digital transformation, including:
- Quality Directors and VPs
- Operations and Plant Leaders
- Process and Continuous Improvement Leaders
- Manufacturing Executives
- Digital Transformation Leaders
Watch the Webinar On Demand
Complete the form to access the webinar and learn how manufacturers are combining SPC and AI to support predictive quality, stronger governance, and more effective manufacturing operations.
Use the button below to view the resource.
View Resource