With the advancement of 5G, the telecommunications industry is gearing up for what might be its most significant development. Although it is some distance from mass adoption, 5G will be a critical driver of edge computing and distributed networks. This attribute makes 5G a force multiplier for technologies like IoT & industry 4.0, telemedicine, autonomous driving, and AR/VR, driving estimates to suggest that, globally, the networking industry will direct over $1 trillion towards 5G.1 Let’s first look at the promise of 5G and the possibilities it creates. 5G has been around for some time, but it is now that the technology is gathering steam, with the GSMA suggesting that it could account for 20% of global connections, that’s 1.8 billion connections by 2025.2 Besides supporting each of its application spaces – enhanced mobile broadband (eMBB), massive machine-type communications (mMTC), and ultra-reliable low-latency communications (URLLC) – with robust and customized frameworks, 5G will enhance the functioning of wireless devices reliant on fast data transfer capabilities, spawning a whole realm of possibilities in areas such as remote healthcare, agriculture, media and entertainment, industrial automation, smart factories and autonomous vehicles.
The potential of 5G, however, is also fraught with complexity. Albeit similar to previous connectivity-driven technology shifts, the rise of 5G will be the most substantial change in the history of telecommunications, making it essential for enterprises to understand what it will take to harness the potential of 5G. Intelligent technologies, specifically AI and RPA, are crucial to that process.
The Deal with Data
The proliferation of 5G will drive an explosion of data, both in volume and formats. Combine that with the need to provide powerful computing on the cloud and edge devices, and it becomes easy to see that organizations are dealing with a minefield just as much as they are with a gold mine. Consider the case of autonomous vehicles. In a V2X ecosystem, the central node, i.e. the autonomous vehicle, will communicate with its navigation and self-drive system, vehicle maintenance, the user, infrastructure, pedestrians, and even traffic systems using one of eMBB, mMTC, and URLLC, generating a massive and diverse dataset across touchpoints that needs to be correlated for variety of business use cases. In this scenario, an efficient and near real-time data management strategy is a precious asset. A comprehensive data management strategy to address this ‘Connected Data’ will require innovative and intelligent management solutions. Enterprises will need to support high speeds and virtually eliminate downtime while managing and directing data in various formats. It is here that automation and AI can play a significant role.
Managing Information with Intelligence
From network planning and infrastructure management to self-optimization and customer service, AI offers a range of use cases viable for service providers.3
Some of the key advancements in AI helps in these use cases,
Building AI – Computer Vision, Language Models, Deep Neural
Consuming AI – AI As A Service, Pre-trained contextual models
Benefits of AI-driven Network Management
Using AI and automation offers a range of advantages to enterprises, not least the facility for continuous learning and improved security. There are substantial benefits from a business standpoint, too.
Enhanced Customer Experience and NPS
5G promises to supercharge digital experiences as we know them. Other areas like Immersive gaming, connected retail, innovative banking, infotainment, drone delivery, and telemedicine could also see widespread adoption over the next decade, redefining quality in customer experience as we know it today. With the added benefit of AI and intelligent automation, enterprises can expect to drive loyalty and improve NPS through their ability to cre¬¬ate consistent customer delight.
Improved Network Utilization & Growth Capacity
AI and ML are already being used to optimize system resources, automatically scale capacity, detect anomalies, and offer predictive analytics in 5G distributed cloud layers.5 Since the initial cost to buy and build 5G networks will be relatively high, with some estimates suggesting that global spending will touch $88 billion by 20236, providers will look to reduce costs and improve performance to recoup these investments. It is no surprise that better resource utilization is one of the critical drivers of AI adoption in 5G.
The power of AI-driven predictive analytics and always-on maintenance will enable service providers to minimize disruptions, which is an even more crucial advantage given the critical functions that 5G will power. Reliability will be essential for adoption at scale and using intelligent technologies to ensure a seamless service could well be the catalyst for the proliferation of 5G.
Connectivity has driven the incredible advances in human history, and we might be on the cusp of the most extraordinary transition yet. As we have seen through what has been the most challenging year in recent memory, connectedness drives more than convenience and is essential to our functioning as a modern civilization. The marriage of AI and 5G offers the prospect of an ambiently intelligent world in a future brimming with unlimited potential. The stage is set for innovative enterprises capable of driving this new wave of industry. Is your organization ready?