Stop Optimizing Chaos: How TwinThread’s Industrial AI Platform
is the Blueprint for Stability and Scalable Success
In 2025, many manufacturers still face a familiar enemy: process variability.
Traditional methods that combat variability remain slow, labor-intensive, and are unable to keep pace with today’s productivity expectations. Left unresolved, variability destabilizes process improvements and causes every downstream initiative to suffer.
While Industrial AI seems like the perfect solution, most teams rush straight to implementing its most advanced capabilities. This common misstep compromises success.
The most effective Industrial AI projects begin with the fundamentals: establishing a stable, dependable baseline.
In Part 1 of our New Operating Standard series, industry veterans Andrew Waycott and Rick Bullotta discuss this critical, non-negotiable first step in any Industrial AI journey. You’ll discover how TwinThread’s offering facilitates this foundation, unlocking repeatable performance and making every subsequent layer of Industrial AI easier to implement and better-positioned for scale.
In this discussion, you'll learn:
- The requirements for getting your Industrial AI project off the ground.
- A modern, efficient approach to process stability.
- The high-impact relationship between your operating baseline and the success of your entire Industrial AI roadmap.
- How to reduce the manual workload associated with typical production activities.
- Tools that can empower your teams by capturing their knowledge, providing clear recommendations, and giving 24/7 control.
Who is this talk for?
- Continuous improvement and quality leaders
- Digital transformation managers
- Plant managers looking to standardize ideal operating conditions
December 9, 2025 | 1:00 PM Eastern