Practical Effects Derived from Crafting Artificial Intelligence and Enhanced Reality Systems
Tuesday, June 3rd, 2025
12:00 PM ET / 11:00 AM CT / 9:00 AM PT / 5:00 PM GMT
Duration: 60 minutes
Sponsor: Dassault Systèmes
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Why You Should Care
With all the buzz around augmented reality (AR) and artificial intelligence (AI) systems supposedly revolutionizing manufacturing processes, you're probably wondering if these technologies are truly worth the investment. Will they live up to the hype and solve the problems you face on a daily basis?
Join us to separate the reality from the marketing hype, uncovering the real-world impact AR and AI have on manufacturing.
Dive into the nitty-gritty of:
- The real-world benefits of AR and AI on manufacturing processes
- Shocking success stories and specific use cases that demonstrate just how powerful these technologies can be
- Insightful, actionable tips, and examples that will help you decide if investing in AR and AI is right for your business
Speaker
Mike Bradford | Director - DELMIA Strategic Business Development and Marketing | Dassault Systèmes
With over 30 years of experience in Manufacturing and Information Technologies, Mike is a guru when it comes to AR and AI integration in manufacturing. His credentials include stints as a MIS Manager, Materials Manager, Management Consultant, Software Consultant, Business Owner, and part-time college instructor.
Mike is a prominent member of ASCM and AIAG, and his contributions to industry work groups, speaking engagements, and trade publications have made him a go-to expert in his field.
Sponsored by:
The Unveiling: How AR and AI are Changing the Game
Thanks to AR and AI, manufacturers can streamline their processes, reduce errors, and enhance productivity. Here are some eye-opening success stories and insights to help you make informed investment decisions:
AR Success Stories in Manufacturing
- BMW: By using AR glasses, workers at BMW’s Munich plant slashed inventory identification time by 22%, decreased error rates by a whopping 33%, and made operations more efficient and accurate.
- Porsche: The company integrates AGV-based assembly systems, supported by AR planning and logistics tools, enabling flexible production layouts and saving up to 40% in capital expenses.
- Ford: By implementing high-resolution machine vision combined with AR for defect inspection of painted surfaces, Ford reduced defect rates by 90% and boosted inspection speed by 50%.
AI Impact in Manufacturing
- Quality Inspection: AI makes it easy to identify defects quickly, improving quality control.
- Predictive Maintenance and Workflow Optimization: AI-powered digital tools optimize workflows, providing real-time insights and enhancing troubleshooting capabilities.
- Automated Work Instruction Creation: AI-driven software generates AR-guided instructions directly from CAD models.
AI-Driven Insights for Business Investment Decisions
- Generative AI in the Auto Industry: Leveraging customer dynamics and automating insights can help retention, improve customer relationships, and provide scalable marketing measurement capabilities.
- Edge AI in Factory Operations: Google Cloud’s edge AI capabilities optimize factory operations through real-time monitoring and empower workers on the factory floor, improving responsiveness and efficiency.
For businesses on the fence about investing in AR and AI, these use cases demonstrate the potential for transformative improvements in efficiency, quality, and customer engagement. investment in AR and AI promises to streamline operations, reduce errors, and enhance productivity, leading to greater competitiveness and ROI.
- In the manufacturing industry, AR technology, as demonstrated by BMW, Porsche, and Ford, has proven to streamline processes, increase efficiency, and reduce errors, showcased by a 22% decrease in inventory identification time for BMW.
- AI, too, is making waves in manufacturing, with efficiency improvements seen in quality inspection, predictive maintenance, workflow optimization, and automated work instruction creation, as illustrated by its impact on the auto industry and factory operations.


