Enhancemanufacturing facility efficiencies using Industrial IoT and 5G technology for optimal production
On August 26, 2025, a live, interactive panel discussion will take place, bringing together industry experts from IFM, Atlas Copco, Streamwide, and Ericsson. The event, sponsored by Ericsson Enterprise Wireless Solutions, will delve into the real-world applications of Industrial IoT (IIoT) in manufacturing, showcasing how 5G offers reliable, low-latency connectivity that IIoT devices require for smooth operation in factory settings.
The duration of the event is 60 minutes and will feature Peter Wienzek, the main driver of IO-Link as a digital transformation technology, as a speaker. Peter Wienzek, who works as Business Development Manager for digitalization, RTM, and software solutions within the ifm group, is also co-author of the book "IO-Link". Jan Diekmann, the vertical lead for next-generation smart industry technology in Ericsson Enterprise Wireless Solutions, will also be a speaker, with a current focus on manufacturing and cargo ports.
El Mehdi Sodki, Director of Sales, North America for Streamwide, and Rodney Hill, Product Launch Manager at Atlas Copco Tools & Assembly Systems, LLC, are also part of the panel. El Mehdi Sodki specializes in carrier-grade NextGen VAS solutions in the areas of Enterprise mobile IP messaging, voice messaging, digital transformation, and connected worker solutions. Rodney Hill has been at the forefront of the smart integrated manufacturing revolution.
The speakers will discuss the importance of private 5G cellular networks for the success of these initiatives. Topics to be covered include connected factory workers, asset condition monitoring, predictive maintenance, and quality control. The panel will provide insights into how these companies are leveraging 5G technology to enable reliable, low-latency, and high-bandwidth wireless connectivity that supports complex factory automation, real-time data collection, and digital twin updates.
This collaboration demonstrates real-world Industrial IoT (IIoT) applications in manufacturing using 5G. Ericsson, with its experience using 5G in manufacturing environments, has shown the value of advanced 5G-enabled IIoT systems, improving processes such as jet engine production by enabling high-speed data collection for real-time monitoring and digital twin operations.
The integration of 5G and edge computing enables capabilities like real-time machine vision processing and remote control of equipment, critical for modern smart manufacturing factories. These networks provide dedicated bandwidth ensuring stable data transmission and support AI-driven automation and system integration, improving operational efficiency and reducing downtime.
In summary, this collaboration likely focuses on deploying tailored private 5G solutions that empower IIoT applications such as real-time monitoring, predictive maintenance, and smart automation within manufacturing facilities, aligning with broad Industry 4.0 objectives enabled by industrial 5G. This event promises to be an informative and insightful discussion on the future of smart manufacturing and the role of 5G in driving this transformation.
The event starts at 12:00 PM ET, 11:00 AM CT, 9:00 AM PT, and 5:00 PM GMT. Don't miss this opportunity to learn from industry leaders and gain insights into the future of smart manufacturing.
[1] Ericsson's 5G-powered IIoT ecosystem for smart manufacturing [2] Industrial 5G landscape and its role in smart manufacturing [4] The integration of 5G and edge computing in smart manufacturing
The discussion will explore how Ericsson's 5G-powered Industrial IoT (IIoT) ecosystem is transforming smart manufacturing. [1]
Additionally, the panel will delve into the industrial 5G landscape and its pivotal role in enabling reliable, low-latency, and high-bandwidth wireless connectivity for smart manufacturing applications. [2] Furthermore, they will discuss the integration of 5G and edge computing in smart manufacturing, highlighting its importance in boosting operational efficiency and reducing downtime through capabilities like real-time machine vision processing and remote control of equipment. [4]
