The implications and opportunities of operationalized AI, TAPPICon24

As papermaking evolves towards greater complexity and digital sophistication, the sheer amount of data collected has skyrocketed. While often seen overwhelming, this also means that the groundwork has been laid for advanced data analytics to elevate production processes.

This paper delves into the transformative opportunities of artificial intelligence (AI) within advanced process industries, such as papermaking. With a case study approach, we illustrate how recent advancements in process monitoring can provide manufacturers with unprecedented tools to access actionable insights. We specify the key elements to consider in order to successfully operationalize automated model building technologies for sustainable process improvements.

Through a comprehensive analysis and case examples, we introduce the concept and advancements in harmony modeling in the papermaking industry. Additionally, we explore how that technology can be utilized for soft sensor development and present preliminary results from practical implementation thereof.

These unique computing principles are able to identify previously unknown interactions within the production process and can even determine their level of impact on process runnability. By delivering those insights in an intuitive form, mill people are better equipped to deal with the intricacies of papermaking processes.

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