Thu
13
Nov
Events
AI in Coesia: From Vision to Impact
SAVE THE DATE
When: 13 November h.13:00 - 14:30
Where: Classroom 11i
Who: MA students from Data Science and Engineering, Industrial production and technological innovation Engineering, Eletric Engineering, Electroni8c Engineering, Engineering and Management, Computer Engineering, Mechatronic and Mechanical Engineering.
Join this Tech Talk with Coesia!
Artificial intelligence is rapidly transforming industrial manufacturing, and Coesia embraces it as a central capability for the future of packaging and automation. The company has evolved from isolated AI experiments to a robust portfolio of production-ready pilots. Key applications include an LLM-powered assistant for PLC coding, automated technical documentation, and AI copilots embedded in current machines. Engineering assistants also support the design of future systems.
Coesia emphasizes strong data governance and human-in-the-loop design to ensure reliability and impact. Disciplined MLOps practices have already converted promising demos into measurable savings. Looking ahead, Coesia explores advanced AI frontiers such as machine self-healing, robot self-programming, and multimodal quality control. The company positions itself at the intersection of AI and cutting-edge automation, driving innovation in sustainable packaging.
The Tech Talk will be introduced by Professor Daniela Maffiodo and Professor Raffaella Sesana.
Don't miss this opportunity: register at this link by November 11!
When: 13 November h.13:00 - 14:30
Where: Classroom 11i
Who: MA students from Data Science and Engineering, Industrial production and technological innovation Engineering, Eletric Engineering, Electroni8c Engineering, Engineering and Management, Computer Engineering, Mechatronic and Mechanical Engineering.
Join this Tech Talk with Coesia!
Artificial intelligence is rapidly transforming industrial manufacturing, and Coesia embraces it as a central capability for the future of packaging and automation. The company has evolved from isolated AI experiments to a robust portfolio of production-ready pilots. Key applications include an LLM-powered assistant for PLC coding, automated technical documentation, and AI copilots embedded in current machines. Engineering assistants also support the design of future systems.
Coesia emphasizes strong data governance and human-in-the-loop design to ensure reliability and impact. Disciplined MLOps practices have already converted promising demos into measurable savings. Looking ahead, Coesia explores advanced AI frontiers such as machine self-healing, robot self-programming, and multimodal quality control. The company positions itself at the intersection of AI and cutting-edge automation, driving innovation in sustainable packaging.
The Tech Talk will be introduced by Professor Daniela Maffiodo and Professor Raffaella Sesana.
Don't miss this opportunity: register at this link by November 11!