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.
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.
AkzoNobel’s new North American Powder Coatings Commercial Director, Baron Schreuder, discusses the role coatings play in designing buildings of the future, and how powder coatings play an important role in making cities and communities more sustainable.
Continuous advancements in machine learning algorithms and big data analytics empower chemical manufacturers to extract valuable insights from large datasets. The market is predicted to grow at a 28.8% CAGR through 2034.
Designed for homeowners, the Sherwin-Williams Color Expert™ app provides personalized, next-gen color recommendations instantly based on existing color schemes tailored to one’s space.
On Demand AI and AI-driven DOE are finally being used in real-time at the bench by chemists and materials scientists, creating a dramatic leap forward from a productivity perspective.
