At first glance, you might think that the recently concluded Mobile World Congress (MWC) in Barcelona was all about gadgets and gizmos and how they can change our future. However, upon closer inspection, a key question frequently asked was how mobile technology will fit better into human life in the future.
Here’s how: Deutsche Telekom demonstrated a “smartphone without apps”. Brain.ai You were presented with what was essentially a blank page answering your questions and requests to build your own interface. Additionally, the UI changes as you take further actions, such as adding a video module if you request a video search.
This example, and several others discussed later in this post, demonstrate a clear fact. Telcos are trying to figure out the best way to draw users into their 5G networks and the best ways artificial intelligence (AI) can help guide them further. PwC partner Dan Hayes said in a media briefing that the focus is not on 5G deployment but on monetizing it.
Private communication network is still under development
Of course, ubiquitous private 5G networks are a topic of discussion and remain an attractive use case for carriers, but the challenges discussed by the speakers revolve around these networks and still have little value. Suggestion was not defined. In other words, the answer to the question of why companies should spend millions of dollars on private networks is not clear-cut.
Given that Verizon CEO Hans Vestberg made it clear during last year’s earnings call that despite growing interest, it was unlikely that there would be any significant contribution from private network transactions in 2024. Nothing new. He expects more traction from businesses in 2025. Recent transactions involving large-scale private network deployments.
What can AI and 5G do to generate more revenue?
According to market research, the private network market could soar to $9 billion over the next five years as more use cases are developed for the industry. PwC officials noted that businesses such as large manufacturing facilities that combine indoor and outdoor capabilities and major ports are best suited for private networks.
This brings about AI-driven opportunities that the telecom industry is likely to witness. In a recent report, Nvidia was proposing More than 90% of respondents said their organization is evaluating, piloting, or implementing an AI solution. MWC visitors were equally enthusiastic about what AI, and more specifically his GenAI, could do for them.
The obvious requirements to improve network equipment longevity, smooth customer interactions, and better manage operations were all discussed. But several people were curious to know what happens beyond all these obvious cases where GenAI could change their company’s balance sheet.
For example, a carrier was looking for an innovative solution for field technicians working to resolve issues on the network so that a second site visit would be disrupted from the process. Industry observers say the industry needs to come up with more innovative use cases like this so AI experts can provide solutions.
GenAI needs to go beyond customer service
“Right now, most GenAI experts are just tackling known challenges, and ironically that’s the same across the services industry,” says an industry expert we spoke to recently.Alison Johnson Popular critic on The Verge A winning concept could be a mashup of what I saw at this year’s show – a wearable with a laser, an AI-powered assistant, a phone with a slick interface, and a screen that bends. So far, we’ve seen some fun technology at this year’s shows, but I think we’re forgetting that gadgets can just be fun. ”
The mobile phone business is not idle either. This week, AI-RAN Alliance – A group that aims to pioneer the use of AI in Radio Access Networks (RAN) to improve performance, reduce operational costs, and deliver significant efficiencies, while facilitating the formation of new business models.
The founding members of this alliance appear to be the de facto names in the technology industry, starting with AWS, Arm, Microsoft, and Samsung, as well as Ericsson, Nokia, Nvidia, T-Mobile, and SoftBank, all of whom are making wallets for the financial industry. I’m trying to loosen the strings. The right innovation. The obvious goal is to instill user interest in AI use cases across the RAN.
We hope this partnership will help shift focus away from the GenAI hype currently surrounding the telecom industry. The hottest use cases for generative AI are customer care and field operations, both of which are cost- and resource-intensive and tend to have high turnover rates. So it’s no surprise that such hype is to be expected as companies look to pivot their operations away from pressing challenges.
