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cover of episode Driving Manufacturing Efficiency With AI: Pirelli’s Daniele Petecchi

Driving Manufacturing Efficiency With AI: Pirelli’s Daniele Petecchi

2024/3/19
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Me, Myself, and AI

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Daniele Petecchi:倍耐力是一家拥有150多年历史的意大利轮胎制造商,专注于高端市场和一级方程式赛车轮胎的研发与生产。公司每年生产数千万条轮胎,产品种类繁多,面对来自全球市场的激烈竞争和客户严格的技术及性能要求,数据和人工智能成为管理复杂性、保证产品质量的关键。在研发方面,人工智能通过虚拟化研发流程,利用数字孪生技术预测轮胎噪音等性能指标,从而缩短产品开发周期,降低成本。在生产方面,人工智能通过预测性维护和预测性质量控制,提高生产效率,保证产品质量,避免生产过程中的停机损失。倍耐力应用人工智能技术,不仅用于预测轮胎噪音、建议轮胎配方,还应用于文本处理等方面,辅助人类进行创新,提高效率。Daniele Petecchi 的职业背景是数字信号处理工程师,他认为人工智能最大的机遇在于更好地辅助人类的日常工作,让人们专注于增值活动。他认为人们对人工智能最大的误解是人工智能会取代人类的工作。他希望人工智能能够在健康和安全领域提供更好的支持。

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Daniele Petecchi discusses Pirelli's focus on leveraging data and AI to meet high technical and quality requirements for premium car manufacturers like Ferrari and BMW, and the complexity of producing millions of tires annually across multiple plants.

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Daniele Petecchi didn’t realize how complex the process of producing tires was until he joined Pirelli, a company that’s been in the business of manufacturing tires for more than 150 years. But now, as head of data management and AI, he’s focused on leveraging the company’s wealth of data to meet the stringent technical, quality, and performance requirements of the Formula One racers and luxury vehicle makers — like Ferrari, Lamborghini, and BMW — that rely on Pirelli’s premium tires.

In this episode, Daniele explains why virtualization and data are key to managing the complexity of an R&D and production cycle that includes using digital twins to predict how a tire will sound on the road and maximizing efficiency at plants that manufacture millions of tires each year. Read the episode transcript here).

Guest bio

Daniele Petecchi is head of AI and data managementat Pirelli, where he leads critical initiatives that harness artificial intelligence technology to drive innovation and efficiency for the premium tire manufacturer. Petecchi earned his degree in telecommunications engineering, specializing in digital signal processing, which laid the foundation for his career in technology. He subsequently earned a Master of Science degree in information management, which equipped him with a strong strategic perspective. In 2018, he further reinforced his skill set by completing the General Management Program at ESCP Business School, enabling him to navigate the intricate intersection of technology and business.

Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Alanna Hooper.

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