What Happens When Wireless Networks Meet AI
What Happens When Wireless Networks Meet AI
AI is incredibly disruptive and oftentimes scary thanks to Hollywood, but its potential to upend everything we know about wireless networks should be greatly welcomed.
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Artificial intelligence isn’t coming; it’s already here. As innovations in machine learning technology continue to push AI-based solutions to the top of the market’s attention, investors, tech analysts, and aspiring developers of tomorrow are all trying to wrap their heads around what makes these intelligent machines tick, and they’re increasingly coming to focus on the intersection of wireless networks and AI technology.
So, what happens when wireless networks and AI collide, and what should today’s aspiring market pros and digital gurus do to prepare themselves for the next generation of machine learning? Read up on how machine learning is revolutionizing networks as we know them, and you’ll be making changes to your future to accommodate the growing trend of AI-driven networks as soon as possible.
The Future of Networking
Networking has undergone many sudden, irreversible changes before, but the rapidly forthcoming wave of AI-driven innovation that’s about to upend networking as we know it is unlike anything the market’s ever seen before. To put it simply, the convergence of machine learning and wireless networks isn’t something that will happen in the near future, but rather something that’s already begun to occur. Today’s wireless networks need to collect and process truly massive sums of data, and often do so through relatively inefficient operations that don’t keep an accurate nor useful track of data that can be used later to better cut down on operational cost. Now, thanks to AI, that’s about to change.
Review the way that AI is upending communication networks and 5G wireless networks in particular, and you’ll see how the fundamentals of machine learning are going to impact the developers of tomorrow; much of today’s wireless networking “paperwork” that occupies developers can and will be automated soon, meaning those tech gurus in charge of the networks of tomorrow will have more time to focus on creative problems that continue to elude any viable solutions in the modern marketplace.
Self-adaptive networks that can identify and remedy issues plaguing them will automatically and rapidly become the norm, and many of today’s human employees who are charged with the maintenance of the wireless networks that unite us all using signal boosters will soon be tasked with other, less-automatable tasks. State-of-the-art communications systems of the future will still need creative human assets to help design and maintain them, but the wireless networks of tomorrow will largely be run by computers that are vastly better at dealing with massive sums of information native to such networks than their human counterparts.
If you examine how today’s researchers are relying on machine learning to analyze modern communications networks, you’ll just be getting a glimpse of what’s to come; industry research of the future will be entirely dominated by companies and professionals who are the most adept at leveraging AI to meet whatever challenges they're facing, and innovation within the wireless networking industry as we know it will soon often be carried out by machine learning-powered algorithms.
Neural Networks and Better IoT Connectivity Are Just the Start
To truly understand the intersection of wireless networks and AI, it’s actually helpful to review those things we don’t even know yet. Specifically, by taking a deep dive into emerging technologies like better neutral networks and low-latency communication systems that can handle more data at a lesser cost, you’ll be able to better picture the as-of-yet undiscovered disruptions that will shake the foundations of the wireless network industry of the future. It’s impossible to look too far ahead into the future, but it stands to reason that those professionals who master the cutting-edge developments taking the wireless networking field by storm now will be better suited to avoiding getting automated in the future.
Of course, you don’t have to be an absolute tech guru to understand the basics of wireless networking and how AI stands to reshape it; if you understand the basics of machine learning in general, particularly when it comes to automating repetitive tasks and building intelligence algorithms that learn over time, you’ll be able to envision the wireless networks of the future that will be operated almost entirely by computer-driven solutions.
Not everything is about technical aspects surrounding data and wireless communications infrastructure, either. The everyday user’s experience, too, is about to be fundamentally upended when it comes to AI and wireless networking. If you can appreciate how machine learning techniques are already beginning to be harnessed to provide users with a better wireless experience, you’ll be unlikely to be taken by surprise by similar developments in the future.
AI is incredibly disruptive and oftentimes scary thanks to the Hollywood-fueled nightmares surrounding it, but its potential to upend everything we know about wireless networks should be greatly welcomed. Future communications systems will be all the better because of AI, and those developers and investors who begin studying it now will be in control of the wireless networks of tomorrow.
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