The 5G and generative artificial intelligence, or Gen AI, are two technologies that advance the commercial objectives of companies around the world.
A 5G network, whether it is an extended wireless network (WWAN) or a private network, makes it possible to transfer large amounts of data with low latency and more secure connection. As for generative AI, it rationalizes commercial knowledge and automates repetitive tasks in multiple sectors of activity. Although the two technologies bring value separately, it is when associated that they demonstrate their full potential.
The advantages of 5G for generative AI
The very nature of the generic AI, whether it involves a large linguistic model (LLM) or using a general generic AI tool, makes 5G its ideal partner. The formation of a generic AI model is a long process that starts with the collection of the data on which the model will be formed. The person who forms the model must, in real time, adjust the model to ensure that he reacts correctly, which requires an almost instantaneous information return to correct the inaccurate or non -relevant responses of the model. For example, if you form a customer service robot, you do not want it to respond with the prices of the products if the customer has requested the characteristics of the product.
Any company that tries to form an LLM could exploit up to petacts (1 Petaoctet = 1,000 TB), or even more, to ensure that the GEN AI function is able to support massive workflows and a large customer base. This training process requires significant and continuous data transfers and, therefore, a network to facilitate these transfers with a high bandwidth and low latency. A WWAN 5G network with centralized management allows network administrators to take advantage of the power of 5G and to ensure that each data training exercise benefits from the network support it needs. Companies can also take advantage of a private 5G network to ensure that each Gen AI model has a dedicated 5G bandwidth during model training.
For example, Gen AI cameras become a daily use case for companies in order to collect large amounts of usable data. These cameras, which organizations also use for safety purposes, can follow the people who enter an establishment, the number of people entering and their license plates. The camera then transmits all this data to a central system for analysis. These cameras are often placed in areas where it would be too expensive or too long to install cables. 5G can therefore play an important role by ensuring that the videos of the cameras are transmitted to the AI analysis platform with high performance and reliability.
The advantages of AI for 5G networks
GEN AI technology can also help improve the performance and availability of the global network, while simultaneously rationalizing operations for IT teams responsible for network administration.
A powerful and available network
The Gen AI models are drawn to massive amounts of data concerning the operation of the network. Based on this data, a model can identify a reference base for network traffic performance, which allows generative AI to detect disturbances or anomalies. The model can also identify the primary cause of the problem and formulate recommendations on how to solve it before it has an impact on the network service and, in the end, on the success of the company. This intelligent breakdown of failure management allows 5G networks to remain perfectly available.
A technology that supports network administrators
For lightened IT teams that are constantly asked to do more with less, the generative AI perhaps the perfect asset to lighten the workload of the team and increase its efficiency. In particular, some companies implement virtual experts based on LLM in their network administration workflows. These virtual experts help certain administrators to obtain real -time answers to questions on the network using natural language treatment, or AI, which allows software to understand and communicate in human language.
Previously, a difficult issue on network performance could force the administrator to consult several technical documents. Today, the virtual expert Gen AI can synthesize information from many different documents to provide an answer to the administrator in only a few sentences or using graphics, which allows IT teams to save precious time.
The role of AI in networks safety
The generic AI will be particularly useful for network safety. Today’s business networks are undergoing attacks of unprecedented magnitude and sophistication. In fact, some threat actors even use AI to help them.
Used properly, Gen AI tools can monitor a 5G network for all types of unusual behavior. This includes unusual or unauthorized connections, phishing attempts and various malware. The generative AI will provide real -time alerts – on the same 5G network – so that IT security teams can react quickly and minimize any damage to the network.
Invest in technologies that interact
As companies in each sector are moving towards a digitally connected world, there will be less room for technologies operating in silos. Organizations that implement technologies that complement each other will be able to maximize their investments while benefiting from a competitive advantage. AI and 5G are a perfect example. AI being called upon to feed the future of automation and 5G to become the standard in connectivity, investing in these two technologies will accelerate data analysis and processes rationalization and, ultimately, accelerate the success of the company.
