Type of course:
Digital learning, Lesson
Language:
EN
Duration:
15 minutes
Workload:
Array hour
Proficiency:
Advanced
Target:
Professionals, Workers
SUMMARY
This nugget explores the concept of Digital Twins and their enhanced functionalities when coupled with Artificial Intelligence (AI), illustrating how AI optimizes data from Digital Twins for manufacturing and sustainability insights.
The role of AI in streamlining data analysis for sustainability within Digital Twins is explored. Additionally, the potentialities and limitations of integrating Digital Twins with AI in manufacturing are presented, highlighting opportunities for efficiency gains alongside challenges such as data security and technical complexity.

About The Author
Cefriel is a Digital Innovation and Design Shop, based in Milan, with offices in New York, and London. Since its inception in 1988, Cefriel mission has been to help companies grow by exploiting digital technologies to create or reinvent their processes, products, and services, strengthen existing ties between the academic and business worlds through a multidisciplinary approach that innovates products and services with ICT and Design. Thanks to its distinctive operative model, Cefriel creates innovative solutions based on customer requirements and integrating the most recent scientific research results, the best technologies available on the market, the emerging standards and the reality of business processes.
Learning outcomes
- After completing this Learning Nugget, the learner will be able to describe the concept of Digital Twins and their key functionalities when coupled with Artificial Intelligence (AI)
- After completing this Learning Nugget, the learner will be able to analyze the role of AI in optimizing data collected from Digital Twins for sustainability insights
- After completing this Learning Nugget, the learner will be able to summarize the potentialities and limitations of coupling Digital Twins and AI in a manufacturing context
Course Content
Topics
Digital Transformation, Sustainable Manufacturing, Artificial Intelligence (AI), Digital Twin
