Ways that 5G and AI Compliment Each Other
5G and AI are a match made in heaven. The potential of both will be unlocked simultaneously thanks to the perfect marriage of both technologies. But how will AI and 5G most significantly impact our regular workdays? What application cases exist for AI and 5G?
The network speed, responsiveness, and efficiency of businesses can all be improved with the help of 5G and AI, although the former takes more time to develop.
Two Growing Markets
The 5G market is expected to skyrocket within the decade. The worldwide 5G market is predicted to increase from a worth of $5.13 billion in 2020 to $797.8 billion by 2030, predicts Allied Market Research. While there was some skepticism around it amid the initial hype, doubts were quickly quelled.
What Purpose does AI Serve in 5G Networks?
Many obstacles must be overcome for 5G networks to be adopted, and the industry is overcoming these obstacles by integrating artificial intelligence into networks.
Cutting costs, enhancing network performance, and generating new revenue sources are the primary objectives of integrating AI into 5G networks. Many telecom decision-makers asserted that AI is already being used to improve network quality and offer personalized services, which will improve customer experience and service.
Since they are confident that using AI in network planning is the best method to recoup the costs associated with transitioning networks to 5G, the vast majority of these integrations will focus their AI efforts on network performance management. Cellular decision-makers also intend to focus their AI spending on managing SLAs, product life cycles, networks, and revenue.
It goes without saying that incorporating AI into 5G networks is not without its challenges. The enormous amounts of data that AI creates must be collected, arranged, and evaluated using effective techniques. Early adopters of AI who can get through these barriers will therefore certainly be in the lead once 5G networks are joined.
How is 5G Relevant to AI?
Our cellphones’ core algorithms have gotten smaller, but they haven’t evolved since the 1990s. Thus, 5G systems require significantly more power than is desirable and provide lower data rates than expected.
By replacing current wireless technologies with deep learning and ML enabled AI, battery consumption can be greatly reduced, and performance increased. This strategy will ultimately have a greater impact than concentrating AI mainly on network management and scheduling.
The radio spectrum is also used to operate the bandwidth for contemporary cellular networks. Electromagnetic waves that fall inside the radio spectrum are known as radio waves. Radio waves are widely employed in telecommunication, along with many other cutting-edge technologies.
These national regulations, which severely restrict interference between users of different radio wavelengths, are coordinated by the International Telecommunication Union (ITU), which is in responsibility of doing so.
Many people are concerned that the growing usage of wireless technology may clog up the airways that our devices use to communicate with one another. One approach to solving this issue has been to design communication tools that don’t always broadcast on the same frequency. Then, using hitherto impractical intelligent knowledge of RF activity, AI algorithms would be used to find open frequencies.
Even though 5G might be up to 20 times faster than 4G, it offers more than simply quicker speeds. Programmers will be able to take advantage of faster response times by creating applications that feature close to real-time video broadcasting for security or sporting events thanks to the reduced latency of 5G speeds. The availability of more real-time data from various solutions will also be made possible by 5G connectivity. 5G uses Internet of Things (IoT) sensors since they are power-efficient and have a long lifespan. This would enable remote detection of changes in irrigation levels and factory equipment status. Doctors may have easier and more secure access to patient data. AI will be necessary for each of these possibilities to be effective.
5G and AI use Cases
Let’s look at some actual examples of how the convergence of AI and 5G will improve the state of the world as we know it.
Use cases building upon IoT and the convergence of 5G and AI
There will be an unprecedented level of product connectivity. Coffee cups may speak with coffee vending machines on some level by saying, “I’m empty.” However, on a different level, we will witness the connectivity of autonomous vehicles, which will have a significant impact on transportation in the future.
The IoT’s data collection will also give machine learning and artificial intelligence (AI) the kind of tools they require to advance and produce deeper insights.
5G and AI use cases — the consumer
The metaverse will arise as a result of the confluence of 5G and AI.
Cynicism has partially replaced the 2021 enthusiasm surrounding the metaverse. The concept of the metaverse plays a role in this problem. At first glance, it suggests a Matrix-style universe, but its true significance is more mundane. According to what I’ve heard, a Zoom call incorporates the metaverse, which is the fusion of the virtual and real worlds.
The metaverse will be supported by virtual, augmented, or immersive reality, and 5G and AI will revolutionize it.
As 5G and AI combine, new use cases in gaming and streaming services, such as those that offer 3D and virtual reality viewing to enhance communication, will emerge. Social media will shift as a result.
Tools like real-time language translation tools will be made possible by the confluence of AI and 5G in our daily lives.
B2B use case of AI and 5G
There will be many business-to-business applications, but one of the most crucial features will be the support that 5G gives remote working. Consider how Grammarly facilitates text-based communication as an example. However, it is not difficult to envisage how 5G and AI can alter not only distant work but also mobile work as virtual and augmented reality technologies evolve.
Automation 5G and AI use cases
There is still the issue of automation technologies with B2B.
It is anticipated that 5G would widen the scope of the digital transformation and increase our access to new technologies and automated processes. With more data and information coming from linked devices and physical digital processes, we will be able to train AI and use it for business and process analytics. As a result, there will be greater opportunities for intelligent automation of services that is outcome-driven.
Industrial use cases AI and 5G
Office automation is one opportunity, but 5G and AI working together will also support industry and manufacturing; on one level, it will be able to support equipment maintenance, monitoring machinery, and anticipating potential issues, but it also offers the alluring prospect of remote operation of machinery.
AI and 5G in transport
AI and 5G operating in tandem will alter the connection of transportation, including autonomous vehicles, drones, and transportation infrastructure such as ensuring traffic signals support optimal traffic flow.
AI and 5G in healthcare
One of the most alluring opportunities given by AI and 5G in healthcare is remote patient monitoring while they are out and about.
Just the beginning
The aforementioned application cases are just the start; many more will include AI and 5G. The fusion of these technologies will be crucial, unleashing AI, and ultimately validating much of the hype of the last ten years.