Corning Incorporated and Merck, known as MSD outside the United States and Canada, recently came together for a joint symposium focused on advanced analytics, data science, and digital technologies. The collaboration kicks off a new partnership between the two innovation leaders focused on developing new approaches to solve complex scientific and business challenges.
“This relationship will bring together experts in several disciplines to share best practices for combining the use of experimental methods, computational methods, and machine learning for reducing the time, cost, and risk in scientific innovation,” said David Morse, executive vice president and chief technology officer at Corning. "We see an opportunity to advance mutually agreed-upon projects in areas including machine learning, image analysis, data science, and high-performance computing.”
The evolution of Industry 4.0 technology, the Internet of Things (IoT), and the need for Smart Manufacturing’s modeling methods and sophisticated computerization has generated important developments in information collection. In addition, advances in data science and digital transformation have enhanced capabilities in various areas, including RD&E, manufacturing, and finance. Data now plays an essential role in reducing cost, improving efficiencies, and increasing yields.Comprehensive data collection is just the beginning. Building well-designed tools that use data to generate insight, and widespread use of those tools in combination with experts’ insight, experiments, and mathematical modeling, will revolutionize the invention and manufacturing of new materials.
"Merck and Corning see data science as a critical component of our technical domains, with applications particularly relevant to innovation processes and enhancing manufacturing efficiencies," said Susan Shiff, senior vice president, Merck Research Laboratories. "Leveraging data science will result in improved efficiencies and the more rapid development of innovative services and solutions."