Contact
Cagri Zaman
Brian W Anthony Principal Research Scientist, Department of Mechanical Engineering Associate Director, MIT.nano Director of Technical Operations, Center for Clinical and Translational Research
Industry is undergoing a major transformation, shifting from automated to autonomous operations. 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 materials, processes, supply chains, and production lines. These digital replicas allow for simulation, monitoring, and improvement of operations in real-time using sensor data. When digital twins are combined with real-time control systems and machine learning, operations and factories become smarter and more adaptive. Real-time data flows from sensors to digital models and ML algorithms, enabling predictive maintenance, waste reduction, and optimizing production. A data-in-context connected ecosystem creates a highly efficient, data-driven environment in manufacturing and in mining.
Positive-Sum Automation & Artificial Intelligence
Dr. Ben Armstrong
Executive Director, MIT Industrial Performance Center
MIT’s working group on Generative AI and the Work of the Future is studying how dozens of large companies are adopting generative AI to improve productivity, decision-making, and innovation. This presentation, from one of the working group’s co-leads, will summarize early research findings, including how generative AI has been augmenting jobs in human resources, marketing, customer support, and engineering. Although there has been justified enthusiasm about the potential for generative AI to deliver productivity and improved job quality, there are large gaps in our knowledge. One open question is how generative AI tools may negatively affect skill development and collaboration among teams. The research presented will propose ways that generative AI can be deployed to minimize skill atrophy and organizational silos.