Me, Myself, and AI
Driving Manufacturing Efficiency With AI: Pirelli’s Daniele Petecchi
Mar 19, 2024
Discover how Pirelli uses AI to enhance tire manufacturing efficiency, predict market needs, and optimize product development. Dive into the extensive applications of generative AI in manufacturing processes and explore the speaker's transition from engineering to manufacturing at Pirelli. Learn about the intricacies of technology-human collaboration in developing advanced innovations like TARS.
25:30
Episode guests
AI Summary
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- Virtualization and data are essential for managing the complexity of tire production, including using digital twins for predictive purposes.
- AI aids Pirelli in enhancing manufacturing efficiency through predictive maintenance strategies, transitioning from reactive to preventive approaches.
Deep dives
AI Application in Developing Tires
Companies are utilizing AI in the development of crucial components like tires, showcasing the intersection of innovation and AI in industries such as automotive. Daniela Piteki from Pirelli discusses the company's focus on tire manufacturing and its leadership in the automotive industry, emphasizing the importance of R&D and technical advancement. Pirelli leverages AI across various data-related aspects, including business intelligence, reporting, data engineering, science, deep learning, and generative AI, to enhance processes spanning from R&D to commercial supply chain management.
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
