Embedded Analytics in Downstream Applications
The integration of Embedded Multivariate Data Analytics (MVDA) and Design of Experiments (DOE) into data management and execution systems enhances the efficiency and accuracy of data planning and analysis. This automation streamlines complex analytical and computational operations, minimizing the likelihood of human error. The Umetrics® Suite, featuring SIMCA®-Q and MODDE®-Q, offers a customizable platform that supports a variety of functions such as predictive modeling, data summarization, classification, and batch processing, all within a user-friendly interface.
This educational session will cover the following topics:
• How to incorporate AI/ML predictive insights into your proprietary applications.
• How to leverage ready-to-use foundational elements that offer rapid deployment, minimal system impact, and adaptable licensing models.
• How to utilize embedded MVDA tools for enhancing, tracking, and diagnosing your process models.
• How to efficiently condense data while preserving critical details through edge analytics.
• How to integrate DOE methodologies into chromatography and bioreactor processes using MODDE®.
What You Will Learn:
- Understand how to integrate DOE methodologies into chromatography systems using MODDE®
- Discover how to utilize embedded MVDA tools for enhancing, tracking, and diagnosing your processes
- Learn how to incorporate AI/ML predictive insights into your proprietary applications