Dow applies large language models to convert subjective paint application feedback into structured performance data, accelerating coatings R&D analysis.
Digitalization has the potential to drastically transform the coatings industry, allowing for better knowledge management, accelerated innovation, and improved data security, while reducing product launch time to market. Digital transformation through AI, ML, and PI strives to bring innovative coating solutions in a sustainable, responsible, and accessible way.
The coatings industry – including paint – is just one of many industries that are slowly adapting to tech-friendly innovations. Now, with technological advances like Big Data, artificial intelligence (AI), and Machine Learning taking the digital world by storm, the paint and coatings industry can definitely benefit in more ways than one.
A new artificial intelligence-based approach developed at MIT could reduce to a matter of milliseconds the time it takes to determine properties of materials such as protective coatings, making it practical to screen vast arrays of candidate materials.
Generative AI, Machine Learning, and Statistical Modeling aren't interchangeable — they solve different problems at different stages of development. Use the wrong one and you're led astray. Use the right one and you compress months of R&D into weeks.
