Course Filter

Course type
Duration
Hours
Target
Topics
Language
Proficiency
Certificate selection
Instructor organization
Price
Eur

MADE_9 - Towards AI for Lifecycle Management (Pilot)

Type of course:

Digital learning, Lesson

Language:

EN

Duration:

20 minutes

Proficiency:

Intermediate

Target:

Professionals

This course provides a comprehensive introduction to the role of artificial intelligence (AI) in optimizing and transforming Product Lifecycle Management (PLM) processes within the manufacturing industry. Participants will explore AI applications across the lifecycle stages, including design, manufacturing, and service. Through real-world examples, case studies, and interactive exercises, learners will gain insights into how AI enhances efficiency, drives innovation, and promotes sustainability in manufacturing operations.

About The Author

Carlo Ongini is the Head of Innovation at the MADE Competence Center in Milan, Italy. He holds a PhD in System and Control Automation and a master’s degree in Computer Engineering from Politecnico di Milano. With a deep expertise in Computer Vision, AI, and Machine Learning, his research focuses on their application in Automation, Robotics, and Industry 4.0.

Ongini has authored over 10 publications and a patent application. He has extensive experience across various industry sectors, having led advanced technology initiatives at Electrolux, driving intelligent automation solutions in manufacturing, and at Vodafone Business, where he managed the development of 5G and IoT solutions for industry applications. He also played a key role in Vodafone’s 5G Trials in Milan and was instrumental in the growth of Smart Robots, an Italian startup specializing in robotic and visual automation systems.

MADE is a Competence Center for Industry 4.0 created to implement Orientation, Training, and Finalization activities for technology transfer projects with companies on Industry 4.0 issues. The ultimate goal of the Competence Center is to keep the profile of companies high, competitive, and sustainable. Moreover, MADE  supports manufacturing companies, especially small and medium enterprises, on the path of digital transformation to factory 4.0: smart, connected, and sustainable, by providing a wide range of knowledge, methods and tools on digital technologies.


Learning outcomes

  1. Analyze the role of AI in transforming traditional PLM practices, from design to recycling.
  2. Evaluate AI tools and technologies for their application across various stages of the product lifecycle.
  3. Develop actionable strategies for implementing AI-driven solutions to enhance operational efficiency and sustainability in manufacturing.

Topics

Digital Transformation, Machine Learning, Artificial Intelligence (AI), Computer Vision

Tags

Machine learning, Features, Featrue selection

Content created in 2024
+46 enrolled
Take the next step toward your learning goals

Related