MADE_6 - Challenges and Opportunities of AI in Manufacturing (Pilot)

Type of course:

Digital learning, Lesson

Language:

Duration:

20 minutes

Proficiency:

Intermediate

Target:

Professionals

SUMMARY

This comprehensive course explores the transformative potential of Artificial Intelligence (AI) in the manufacturing industry, offering insights into its practical applications, challenges, and opportunities. Through a blend of theoretical knowledge and real-world examples, participants will examine the complexities of integrating AI into manufacturing operations, the barriers to adoption, and strategies for overcoming these challenges. The course is designed for professionals seeking to enhance operational efficiency, ensure quality compliance, and drive innovation in their manufacturing processes while navigating the nuances of Industry 4.0 and Industry 5.0.

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.

Challanges and Opportunities of AI in manufacturing

Learning outcomes

Analyze key challenges in adopting AI within manufacturing, including workforce limitations, integration complexities, and data quality issues.
Evaluate the opportunities AI presents, such as predictive maintenance, operational efficiency, and sustainability, to enhance manufacturing processes.
Develop actionable strategies to integrate AI into manufacturing workflows while addressing compliance, quality assurance, and organizational readiness.