New artificial intelligence technology streamlines product development for materials scientists through automated experiment suggestions and real-time optimization of research parameters.
Industry decision makers are overwhelmed by promises of AI’s potential in areas like R&D, production and quality control. Discussions should focus on outcomes rather than hype.
In the competitive coatings industry, enhancing efficiency and accelerating the speed of innovation are key objectives. The digital paint formulation approach supports these goals by serving as a powerful tool for researchers.
AI enhances sustainable manufacturing in smart factories by optimizing processes, improving product design and ensuring compliance while reducing environmental impact.
AI and machine learning inspire the discovery/design of new materials and the processes to manufacture them. Autonomous R&D pushes the envelope for building predictive models and platforms that drive high-throughput innovation. How did we get here so fast, and where will this global megatrend take us?
Whether you are a specialty coatings company selling to an OEM, or a raw material company selling into a coatings company, you can use AI to deeply understand how your product impacts your customers’ performance so that you can recommend the correct product, charge based on value, and find a market niche with higher margins. Learn how to get started.
