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.
“This collaboration aims to transform the way collision shops operate, enhancing quality, efficiency and customer satisfaction,” said Tom Maziarz, PPG Vice President, Americas, Automotive Refinish.
“Since the acquisition of matchmycolor and its Colibri software solutions last May, our teams have worked tirelessly to align and enhance our state-of-the-art color formulation and management software and services. The result is a number of software upgrades and new support services which we are committed to continuously evolve,” said Albert Busch, Datacolor President and CEO.
Using this predictive tool can raise the certainty on vessel performance and provide greater confidence on economic and sustainable value achieved through the operational cycle, which is a key challenge for the industry while regulations are driving higher efficiency.
Formulators can now harness the power of digital platforms to support informed decisions, accelerate innovation, save time, conserve resources, and enhance efficiency. This article offers insights into achieving digital transformation in a traditional industry, including strategic vision, team building, governance, talent development, and value demonstration.
