AI in manufacturing: emerging opportunities or new challenges for data acquisition

Artificial Intelligence (AI) is transforming manufacturing, offering new ways to optimize production while posing unique data challenges. In our webinar, “AI in Manufacturing: Emerging Opportunities or New Challenges for Data Acquisition,” our experts explore how AI can enhance manufacturing processes and discuss the foundational role of data in successful AI applications.

Meet Our Speakers:

Enrique Herrera. Industry 4.0 Independent Consultant

With over 20 years of experience in automotive and manufacturing, Enrique has led digital transformations for companies like Microsoft, OSIsoft, and Visteon. His expertise spans IIoT, Digital Twins, SaaS, and cloud solutions.

Martin Davis. CIO, CDO, and Managing Partner at DUNELM

With extensive experience in digital strategy and Industry 4.0, Martin has led transformative initiatives across sectors, including manufacturing and consumer goods. His expertise includes IT strategy and enterprise-wide digital evolution.

Yuri Pilipenko. Founder and CEO at OLSOM

Manufacturing IT expert with over 20 years of experience in MES system integration. He has helped companies like Visteon, Motherson, and Hanon transition to smart factories, leveraging Industry 4.0 technologies to solve key manufacturing challenges.

What You’ll Learn

1. ‍How AI Enhances Efficiency and Safety  
   Discover how AI boosts production efficiency, optimizes resources, and enhances safety across manufacturing operations. ‍
2. Practical Applications of AI in Manufacturing
   Explore real-world uses of AI in supply chain management, factory safety, and automation. ‍
3. New Trends in Manufacturing
   Learn about emerging technologies, such as smart robots and voice interfaces, that are shaping the future of manufacturing. ‍
4. Why Quality Data is Important
   Find out why high-quality, well-prepared data is crucial for effective AI applications, and how challenges in data quality and integration can impact results. ‍
5. Using AI for Maintenance and Quality Control
   Discover how AI can predict equipment issues early, reducing downtime and improving quality through real-time monitoring. ‍
6. How to Measure AI ROI
   Get insights on assessing the return on AI investments to ensure they meet business goals.

This webinar has concluded — stay tuned for more insights and future events.

‍