Edge computing: real-time AI for industrial production
AI plays a key role in digitalization today, but is usually understood purely as a cloud-based service. However, the cloud reaches its limits when it comes to latency, bandwidth, or data sovereignty. The solution: edge computing. Today, it is possible to deploy AI directly on the shop floor to analyze data locally and provide real-time recommendations for action. Through the use of modern “edge controllers,” computing power is thus brought directly into the device or the factory floor. AI makes decisions immediately on-site—without the time-critical detour via the internet.
Those who master this technology make their production independent of external networks and lay the foundation for highly available, intelligent assistance systems directly at the point of action.
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- Hybrid strategies: you’ll gain an overview of how the interplay between industrial edge and cloud technologies ensures maximum flexibility, scalability, and security in your data processing.
- Sustainable competitive advantage: you’ll understand how decentralized intelligence lays the foundation for entirely new, data-driven business models and highly optimized value chains.
- Practical insights: you will learn about specific Industrial Internet of Things (IIoT) use cases and success stories from the industry that illustrate the direct value of edge solutions.
- Technological sovereignty: you will gain an overview of available open-source solutions and architectures to implement your edge strategy independently and cost-effectively.
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This event is aimed at technical and strategic decision-makers from industry and business.
- IT/OT architects and system administrators
- Production and plant managers
- Industrial IoT and automation engineers
- AI engineers and technical AI leads
- Digitalization and innovation managers
- Subject matter experts and project leads in production, energy, and automotive
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- Format: webinar / lecture
- Duration: flexible
- Delivery: online or in-person
- Practical component: high, with examples and specific application scenarios
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The format can be customized to suit your organization’s specific needs—for example, by:
- Incorporating your specific use cases
- Adapting to your industry or project type
- Delving deeper into specific methods or tools
