Report reveals AI, IoT, edge as key technologies for organizations leveraging 5G
UL Solutions commissioned a study that surveyed 300 manufacturing executives worldwide to identify the top technologies that integrate with 5G connectivity. UL Solutions, known for the Underwriter Laboratories testing, inspection and certification services, also provides software and consulting services.
According to the report “The Power And Promise of 5G Integration For Manufacturers,” artificial intelligence, the Internet of Things and edge computing were the top three technologies for businesses undergoing digital transformation.
To achieve operational efficiency and improve customer experience, the report says organizations increasingly turn to edge computing for mission-critical applications in remote locations. The advantages of distributed edge infrastructure and efficient deployment techniques, like containerized applications, make it a good choice.
The report states that although 55 percent of organizations have had a 5G strategy for more than a year, these companies still face multiple challenges. Around 33% of the respondents reported facing challenges in creating a 5G plan because of the complex nature of its manufacturing operations. The requirement for a clearer return on investment from implementing 5G technology is also highlighted.
That said, of companies that have already implemented 5G technology, 30 percent reported having seen an increase in the adoption rate of other technologies, while another 30 percent are making better business decisions.
Additional report findings include the following:
- Most organizations aim to integrate 5G with emerging technologies for increased flexibility in manufacturing operations.
- Businesses are worried about being left behind in the competition to adopt 5G technology. They want to establish a best-in-class supplier ecosystem and develop their manufacturing capabilities.
- Businesses think that by implementing 5G technology and integrating it with their current technology infrastructure, they can collaborate more effectively with their partners and speed up innovation.
Implementing network slicing on demand can simplify the integration of 5G networks into digital infrastructure, a topic of discussion for enterprises and research teams alike. This practice will allow for a greater level of application customization.
“You can have the same network hardware, but in the virtual world, you can create different network slices focused on a particular application, such as a slice for healthcare, another for energy and another for aerospace,” says SM Hasan, the 5G platform leader at GE Research.
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5G | AI | digital transformation | edge computing | IoT | network slicing | UL Solutions