EDAG SMART INDUSTRY SUMMIT USA & GOLF EXPERIENCE:
OCTOBER 7, 2025
EDAG Smart Industry Summit & Golf Experience 2025
Building the Smarter Future.
October 07, 2025 at Oakland University Golf Course
One day that will move you—for industry and the mobility sector
The industrial future is networked, adaptive, and data-driven. Systems are evolving on their own—a rethink is needed. “Planning at the touch of a button”? You got it! Smart, digital twins of products and production are fundamentally changing end-to-end process chains. Self-controlling processes powered by AI secure the manufacturing and operation of the future.
Whether AI, industrial metaverse, or cognitive robotics: at the EDAG Smart Industry Summit, you will experience how digital technologies are already making an impact today. On the product – in production – in practice.
One day full of real-world use cases, intelligent solutions, and concrete answers to the challenges of tomorrow – for industry and the public sector.
Following the summit, we invite you to join us for a 9-hole golf round, offering a unique opportunity to continue discussions in a more informal setting and strengthen professional relationships. For sure, 100% free - but limited to 30 registered guests, early registration is recommended!
Date: October 07, 2025
Location: 492 Golf View Ln, Rochester Hills, MI 48309
AGENDA
| Time | Presentation Title | Speakers |
|---|---|---|
8:30 AM – 8:55 AM | Registration & Arriving | |
8:55 AM – 9:05 AM 10 Min. | Welcome Speech | Matthew Pearson — CEO EDAG Inc. Dirk Keller — Executive Vice President EDAG |
9:05 AM – 9:30 AM 20 Min. + 5 Min. Q&A | EDAG: Smart Product From Vision to Reality – End-to-End Development | Julia Peter — Director of Business Development - Product Development Michael Kuepper — Vice President Smart Product |
9:30 AM – 9:50 AM 20 Min. | Light That Talks: EDAG’s End-to-End System Power for Communicative Illumination Light isn’t just visible—it’s legible. | Jannes Buthmann — Expert Lighting |
9:50 AM – 10:15 AM 20 Min. + 5 Min. Q&A | EDAG: Smart Factory AI-supported Factory Configuration & Simulation | Chris Ortmann — Head of Manufacturing and Logistics Engineering David Train |
10:15 AM – 10:25 AM 10 Min. | Smart Industry in Practice: The Future of American Manufacturing | David C. Benson — Sr. Project Manager Production Solutions |
10:25 AM – 10:35 AM 20 Min. + 5 Min. Q&A | Quantum America Reviving the American Dream Through Precision-Built Housing | Stephen Mulva |
10:35 AM – 11:00 AM 20 Min. + 5 Min. Q&A | NVIDIA Omniverse – Building Blocks for the Industrial Metaverse | NVIDIA |
11:00 AM – 12:00 PM 60 Min. | Lunch Break & Visit Info Points | |
12:00 PM – 12:25 PM 20 Min. + 5 Min. Q&A | EDAG: Smart Ecosystem Beyond the Horizon – Value Creation Solutions | Jana Speidel — Senior Expert Digitalisierung Smart Factory Antonio Diaz |
12:25 PM – 12:50 PM 20 Min. + 5 Min. Q&A | EDAG: Industrial Metaverse Opportunities for US Companies | Jan Berner — Head of Technology & Process Kent Bragg |
12:50 PM | Non-Golfers can leave or stay to Visit Info Points | |
12:57 PM - 1:51 PM | Golf course opens to begin play (Tee Times assigned upon arrival) | |
3:30 Pm - 4:30 PM | Golfers Return & come together - Visit Info Points | |
5:00 PM – 6:00 PM | Closing remarks and guests leave | Matthew Pearson — CEO EDAG Inc. Dirk Keller — Executive Vice President EDAG |
INDUSTRIAL SOLUTIONS AT A GLANCE
SMART PRODUCT
From idea to series production: Digital twins, AI, and models accelerate the development of connected products.
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Smart products don't just happen by chance. They are the result of well-thought-out, model-based development, networked system architectures, and intelligent optimization. Companies are faced with the challenge of integrating software solutions into their products, mastering complex data models, and accelerating time to market.
At the Smart Product theme island, we show how digital twins, AI-supported simulations, and end-to-end development processes make the entire product development process more efficient and secure. You will learn how new technologies help minimize risks, reduce costs, and implement innovative product features.
You can look forward to practical application examples that show how the requirements of customers, markets, and regulatory authorities can be mapped and implemented at an early stage. The result is products that are connected, adaptable, and truly future-proof.
- Focus areas:
- Model-based development: Consistent and end-to-end product models from concept to series production
- Digital twins: Integration of development, manufacturing, and operation in a central data model
- AI-supported optimization: Automated validation and intelligent decision support
- Scalable system architectures: Platform approaches for connected, future-proof products
- Data-based services: Predictive maintenance, product feedback, and new business models
SMART FACTORY
The future of industrial manufacturing
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The smart factory is no longer just a visionary concept. It is a reality and a decisive factor for efficiency, quality, and future viability in industrial manufacturing. The challenge: mastering complexity, using resources efficiently, and remaining adaptable at all times.
At the Smart Factory theme island, we showcase
Virtual twins of physical plants and processes enable improved development, simulation, and real-time monitoring. This reduces development times and downtime and improves product quality.
Intelligent factories are becoming the global standard through the integration of advanced sensors, real-time connectivity, and data analysis to optimize efficiency and productivity. This increases flexibility and enables rapid adaptation to new circumstances, while reducing costs.
Cognitive robots and advanced automation work alongside humans to increase productivity, safety, and adaptability across a wider range of manufacturing tasks. AI-driven automation enables predictive maintenance, quality control, and real-time process optimization. Machine learning enables factories to anticipate problems, reduce downtime, and make data-driven decisions.
Sustainable and circular economy Factories are committed to environmentally friendly production and focus on reducing energy consumption, minimizing waste, and achieving carbon neutrality. - Focus areas:
- The Industrial Metaverse in practical application
- The global standard for smart factories
- Cognitive robotics will be the worker of the future
- Operational excellence and cost-optimized production solutions
- Supply chain excellence and the digitization of the supply chain
- AI-based quality control: Predictive error prevention in real time
- Adaptive control concepts: Flexible response to fluctuations and disruptions
- Scalable platform architectures: Integration of all production data for strategic control
SMART TRAINING
Humans and machines work together intelligently – with AI assistance, learning systems, and intuitive interaction.
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In the smart factory, people are part of a larger system. Their capabilities are enhanced by digital tools, and their decisions are backed up by data-based support.
Smart People stands for the integration of human expertise into a highly networked industrial environment. Whether through interactive training models, personalized dashboards, or AI-supported assistance systems, this is about a new quality of collaboration.
At the Smart People theme island, we show how companies promote talent, scale knowledge, and create an agile work culture in which technology becomes a partner. - Focus areas:
- Adaptive training models: Interactive learning scenarios in virtual environments
- AI assistance: Support for decision-making processes through smart algorithms
- Human-machine collaboration: Intuitive interfaces and safe workplaces
- Knowledge management: Dynamic systems for contextualizing and utilizing expert knowledge
- Empowerment through data: Individual support for productive, secure work processes
SMART ECOSYSTEM
Add new digital services and business models to your smart factory, reach new target groups and sales channels, and increase added value with external data and software solutions.
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Software and digitalization are becoming increasingly important—even outside of actual production. The key question here is how to reach new target groups and develop data and interface architectures that can be scaled in a future-proof manner and create sustainable added value. This is based on networked data spaces, adaptive systems, and AI-supported assistance solutions that make knowledge accessible. Equally important are industrial web shops, connections to global marketplaces, and SaaS-based business models.
In the Smart Ecosystem theme island, we show how physical and digital worlds are seamlessly converging in industrial practice. Experience how a data lake hub connects, optimizes, automates, and secures collaboration and processes, accelerating the development of innovative solutions and new business models.
Using practical examples, we show how companies can confidently use their data, scale their expertise, and increase their value creation with relevant data and third-party services – for a productive, secure, and resiliently connected ecosystem.
- Focus areas:
- Networked data rooms: Trustworthy data exchange in dynamic industrial ecosystems
- Data architecture: Development of scalable data infrastructures (data lake hubs) for integrating a wide variety of sources
- Interfaces & systems: Connection/integration and orchestration of existing IT/OT landscapes
- Tool selection & integration: Selection of suitable tools for data management and analysis
- Data analytics: creating value from data through pattern recognition, evaluation, forecasting, and reporting
- AI-supported assistance systems: support for decision-making processes, automation, and training situations
- Cognitive robotics: Intelligent systems with swarm behavior and adaptive learning
- Dashboard solutions: Data visualization and monitoring for process transparency
- App development: Customized applications for mobile and industrial applications
- Foundation models: Scalable AI building blocks for specific industrial applications
- Industrial Webshop: Dynamic adaptation of production to market movements
INDUSTRIAL METAVERSE
The Industrial Metaverse is the digital foundation of tomorrow's manufacturing. It is data-driven, AI-powered, and opens up new possibilities for automation.
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The Industrial Metaverse is a virtual replica of real-world manufacturing that takes efficiency, innovation, and flexibility to a whole new level. People, machines, and processes are connected in real time. This creates the conditions for the intelligent use of cognitive robots and automation solutions, data-driven decisions, and a completely new level of industrial value creation.
Experience how efficiency is being reimagined at the “Industrial Metaverse” theme island:
Decision-makers, planners, technicians, and operators access digital twins together. They simulate decisions, analyze scenarios, and implement even complex projects in a targeted manner during ongoing operations.
Whether in brownfield or new construction, the Industrial Metaverse creates new opportunities for industrial transformation. Existing and new infrastructures are intelligently networked, proactively optimized, and raised to a new level of performance. In existing plants in particular, this can be achieved without long downtimes or costly new purchases.
This enables companies to actively address the megatrends facing industry: the shortage of skilled workers, deglobalization, increasing pressure to innovate and reduce costs, and the growing demand for sustainability.
The Industrial Metaverse is becoming the central lever for efficiency, resilience, and future viability.
- Focus areas:
- AI in the loop: data-driven and adaptive
Use of adaptive systems for continuous optimization of planning, operation, and maintenance - Cognitive robots in the production environment
Autonomous, context-aware systems trained with domain-specific foundation models - Use of AI-supported assistants (“co-pilots”)
Digital assistants to support skilled workers in maintenance, planning, operation, and decision-making - Digital twin 2.0 in products and processes
Virtual images across all life phases – networked, interactive, simulation-capable - IT/OT networking and lifelong digital twins
Consistent use of operating and sensor data across the entire product and plant life cycle - Networked data platforms for planning, operation, and optimization
Common database for greater transparency, efficiency, and proactive action - Real-time simulation and validation
Decisions can be tested and validated digitally before they are implemented in real life
- AI in the loop: data-driven and adaptive
Industrial Metaverse: Experience the future today
Experience practical use cases related to the Industrial Metaverse.
Digital Twin 2.0 and AI in product development
Accelerate innovation with Digital Twin 2.0 and AI
Consistent data models, automated simulations, and integration into the Industrial Metaverse make your product development faster, more robust, and future-proof.
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Digital Twin 2.0 creates a consistent image of the product from the initial design to series production. All domains work on a uniform database. Mechanics, electrics, software, and simulation are fully networked.
AI models analyze real loads, identify weak points at an early stage, and automatically develop optimized variants. The direct connection to the Industrial Metaverse allows cross-functional tests to be carried out in realistic digital environments.
The result: more efficient development times, high speed of innovation, and shorter time-to-market
Intelligent process control with AI – closed-loop quality in real time
An adaptive system collects and analyzes real process and quality data from production, identifies causes of errors, and provides targeted recommendations for action. Based on this analysis, maintenance measures are initiated and parameters and robot movements are automatically adjusted. Together with Wandelbots and Siemens, this results in software-driven automation that continuously learns and adapts flexibly to new conditions.
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In smart production, the quality of products and processes is of central importance. With the help of modern sensor technology, relevant process parameters such as vibration, pressure, forces, and visual information from camera-based vision systems, etc., are recorded during production. This data provides the basis for an AI-supported system that immediately detects deviations, analyzes causes, and derives concrete recommendations for action.
This enables well-informed, data-based decisions: production parameters and robot paths are automatically adjusted, and maintenance is informed of necessary measures in a targeted manner. This leads to short response times, stable and optimized processes, and the avoidance of downtime and manual rework.
Thanks to standardized interfaces—for example, to platforms such as Wandelbot's NOVA or Siemens Industrial Edge—new solutions and functions can be integrated with minimal effort.
The result: adaptive, reliable production with maximum process stability and consistently high quality.
Maintenance reimagined with AR and digital twins
Technicians receive precise, visual instructions for repairing a product on site via AR glasses. The instructions are directly linked to the digital twin, enabling fast, error-free implementation without additional training.
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The AR glasses display affected components, necessary work steps, and safety-related information directly in the field of view. This is based on the digital twin, which maps the product in real time and visualizes the detected errors in context.
Parts lists, instructions, and assembly notes appear exactly where they are needed. This enables even less experienced employees to perform complex maintenance tasks safely and efficiently.
The result: Thanks to the connection to systems such as CMMS or ERP, the entire process is automatically documented and available for later evaluation. This creates a scalable, digital maintenance solution across the entire product lifecycle.
More efficient projects: better decisions with a digital project system
EDAG digitizes the entire project process – from site selection to implementation. All data flows into a central model that improves planning quality, resource utilization, and decision-making processes. The result: less friction, more transparency, and a robust digital twin for operations.
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Throughout the entire project, location information, layout plans, timelines, and resources are consistently maintained in the digital model. Simulations and real-time data from implementation continuously supplement the system—the model grows with it.
At the end of the process, a complete, dynamic digital twin is created. This can be used directly for commissioning, monitoring, and optimization. The asset is seamlessly integrated into operations and can be continuously maintained by EDAG as a managed service.
Typical functions include KPI analyses, predictive maintenance, integration of new variants, and connection to existing ERP and MES systems.
The result: end-to-end transparency, a controllable project system, and the basis for continuous optimization in the Industrial Metaverse.
Take a look at the highlights of our event
Review: Highlights of the EDAG Smart Industry Summit 2024
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