Data, Al and the Future of the Coatings Industry

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Dades bibliogràfiques
Publicat a:	Paint & Coatings Industry vol. 41, no. 3 (Mar 2025), p. 49
Autor principal:	Woerheide, Ralph J
Publicat:	BNP Media
Matèries:	European Union New York United States > US Software Raw materials Scientists Computer science Artificial intelligence Neural networks Decision making Human performance Protective coatings Digitization Information sharing Automation Research & development > R&D Slurries Data exchange Chatbots Deep learning Industrial Revolution Cognition & reasoning Machine learning Natural language processing Linguistics Business ecosystems
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Resum:	At its core, the aim was to create machines that could demonstrate human abilities, such as reasoning, learning and processing language. Since 1956, artificial intelligence has made significant progress, now used for applications like autonomous driving and the automated processing of credit card applications. A long-term vision might include "next day delivery," where a paint factory can convert customer requests into products quickly and flexibly, compensating for raw material market volatility. [...]more data isn't always beneficial, Another Al strategy involves reducing complexity, such as through a "modular factory," where components (e.g., binder modules, master batches, slurries) are produced within tight tolerances in a compact, highly digitized and automated unit.
ISSN:	0884-3848 2328-8329
Font:	ABI/INFORM Trade & Industry