Resource Library

Manufacturers in industries such as chemicals, metals, or pulp and paper are moving beyond foundational tools like smart sensors and control systems and are putting their focus on artificial intelligence (AI)-enabled solutions for predictive maintenance, quality control, process optimization, and new product formulation. But while early projects using generative AI (GenAI) are also showing promising results, common hurdles include data readiness, integration complexities, and a lack of internal expertise to deploy AI solutions effectively.

This paper presents insights into how manufacturers in process industries are prioritizing technology today and where AI fits into the broader picture.