Maria Saenz
The retail industry has been in the process of rapid change caused by advances and adoption of digital technology. With the advent of the COVID-19 pandemic, and the impact of practices like social distancing, the changing face of retail is poised to accelerate even more dramatically in the next few years. These changes will cover the entire spectrum of retail activities ranging from omni-channel consumer experience to agile supply chains. Join us, as MIT’s leading experts in retail explore the critical issues and possible new scenarios of The New Retail.
Nick van der Meulen Research Scientist, Sloan Center for Information Systems Research
Data Analytics in the Smart Factory - Digital Twins to Real Time Control José J. Pacheco CoDirector, MIT Advanced Manufacturing and Design Program (MIT AMDP)
Charles Fracchia, PhD, CEO & co-founder, Biobright Marilyn Matz, CEO & co-founder, Paradigm4
2016 MIT Digital Health Conference
The manufacturing industry is undergoing a major transformation, shifting from automated to autonomous operations. This change promises to speed up the process of turning ideas into real, market-ready products. The key to making this happen is the integration of digital technologies, including sensors, data, computing power, and information systems.
At the heart of this shift are digital twins—virtual models that represent not just the products but also the materials, manufacturing processes, supply chains, and production lines. These digital replicas allow manufacturers to simulate, monitor, and improve operations in real-time using sensor data. By combining physical and digital worlds, digital twins help bridge the gap between designing a product and bringing it to life. When digital twins are combined with real-time control systems and machine learning, factories become smarter and more adaptive. Real-time data flows from sensors to digital models and ML algorithms, enabling predictive maintenance, reducing waste, and optimizing production. This connected ecosystem creates a highly efficient, data-driven manufacturing environment. We’ll explore real-world examples of these technologies in action and how they are shaping the future of manufacturing today.
Brian will describe the initial research collaboration between MIT Sloan HSI and Amwell Silvercloud, utilizing health analytics to enhance engagement and effectiveness.