5G network deployment is amongst the most anticipated and sough after technology advances in the modern era, however, it is poorly understood. 5G technology comes with a lot of grandiose promises about its use cases, however, it also comes with a lot of specific issues that could halt and prevent it from executing on them. To optimally exploit its benefits, 5G needs intelligent automation to do so. According to analysis by PwC, productivity and efficiency gains enabled by 5G would add £43 billion to UK GDP by 2030. Given that large corporations and SMEs heavily rely on wireless technologies to drive business, skills and services, this figure is not surprising.
Intelligent automation (IA) is a term that refers to the intersection of robotic process automation (RPA), artificial intelligence (AI) and business process management (BPM). RPA and BPM are both focused workflow operations that can be automated or improved. These process automations can be paired with AI, optical character recognition (OCR), process mining etc to create end-to-end workflows that enhance their advantages by utilising data analytics to comprehend and adapt in real-time environments.
Established forms of automation can minimize human error to increase efficiency by minimising repeated manual procedures. Although this form of automation technology is beneficial, they are frequently limited in scale. IA provides a more in-depth level of awareness and adaptability, allowing it to apply automation efficiencies to more complicated workflows while also increasing automation’s resilience.
Although, 5G does have phenomenal speed and latency gains, it also brings about a unique set of issues. Companies that deploy 5G to improve network connectivity will encounter that their data management will increase in complexity. It is estimated that up to 75% of company data is currently idle, and that is mostly due to companies having an excess of data than they know what to do with. As a result of deploying 5G, more electronic devices will be connected, which means more data will be transmitted via enterprise networks. Although the transmission of that data can be done through 5G, the complexity arises when you must take into account all devices and workflows unique set of needs. Furthermore, despite its network superiority, 5G has a range that is 98% smaller than that of 4G, which necessitates the need for several tiny cells. As a result, it adds another layer of complexity to the network.
IA provides a solution by giving these complex networks the adaptability and intelligence that it needs to function more efficiently. These systems can track the connectivity requirements of various devices all at once so that it can adjust the network in accordance with the requirements it needs to meet. This allows connectivity to never be disrupted because IA will adjust appropriately to the demands of the system.
One of the largest advantages of implementing IA to 5G is to improve cybersecurity. 5G allows businesses to collect and analyse more data, however, data management becomes more complicated which can leave it more vulnerable to security breaches. Security breaches have been steadily increasing, and increasing connectivity means that there are more data nodes that are vulnerable to cyber-attack. It can be challenging to notice abnormalities or to understand which data is more prone to vulnerabilities in such a layered and complex set of networks. IA minimises complexity by more efficiently balancing system needs and usage, resulting in greater clarity. It can also keep an eye on things all the time to spot any strange behaviour or potential flaws.
IA along with 5G’s capacity, lowers interrupted or disrupted connections, denying attackers access. Network defences will remain intact as a result of more reliable connections, preventing breaches.
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