Our world is changing due to artificial intelligence (AI), and networks are no exception. AI is transforming everything from manufacturing and transportation to the information we consume. But are you aware of AI’s full potential in the telecom industry? Learn more as we outline the top five advantages and offer advice on where to begin your AI journey.
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AI has the potential to be extremely disruptive. It is perhaps the second largest technical advance since computers were widely used, and it is already completely changing and even inventing entire sectors. Our human minds appear to be in awe of this all-powerful genius on a daily basis due to his remarkable artistic ability, eloquent poetry, and kind and knowledgeable customer service. Whether you like it or not, artificial intelligence is here and is here to stay. What does that entail for networks, then?
Growing needs present a plethora of opportunities
Recent and developing services require always-on performance, ultra-reliability and low latency, high levels of security, as well as a network that can handle many different use cases. This is due to the fact that networks are increasing in both scope and regions of utilization. Networks have to meet ever-higher standards and expectations, which range from reducing energy usage to enhancing performance and capacity.
In addition, the network needs to provide each service and user with an excellent experience. The communication service provider (CSP) will require all areas of their organization to collaborate in order to achieve the high standards being set for experience measurement, customer expectations analysis, and service assurance.
The mobile ecosystem and networks are growing increasingly sophisticated at the same time due to the advancement of 5G, IoT, and edge computing. Now more than ever, our networks need to provide more than just connection.
Thankfully, this is now achievable because to the strength of data and intelligence allowing enhanced automation services. Telecom operators are already reaping substantial benefits from AI and machine learning in a number of sectors, demonstrating the technologies’ usefulness.
The top five advantages of AI for mobile networks
1. Efficient
AI really shines when it comes to automating monotonous jobs, responding fast and effectively, and freeing up personnel or resources for other uses. AI-driven automation may streamline network operations and cut expenses by taking over repetitive jobs and improving network efficiency.
Building and training AI models to evaluate network data and traffic patterns requires extensive expertise, which Ericsson possesses with decades of experience managing network systems and data, learning from trends or failures, and recognizing abnormalities. These algorithms have the potential to significantly enhance network-wide capacity planning and optimization. AI can detect and prevent deterioration or interruptions in operations, minimizing or eliminating costly downtime, and more precisely identify the core cause of problems, speeding up the time to resolution. They may even make it possible for networks to cure themselves, which would eventually eliminate the need for human intervention.
2. Enhancing performance
It might be difficult to maintain the excellent network performance that users are accustomed to as networks becoming more complicated. Communication service providers (CSPs) can handle more complexity and improve customer satisfaction while preserving excellent network performance by utilizing AI.
Artificial intelligence (AI) can increase performance and reliability by examining network traffic patterns and improving resource allocation. They can lower latency and increase bandwidth by allocating dynamic network and computing resources to regions with high service demand and by optimizing data routing to ease congestion.
3. Sustainability and energy
Energy consumption has become critical to sustainable operations because to growing energy prices, the adoption of net-zero standards, and expanding network capacity needs. While zero-energy gadgets may be the focus of the 6G future, AI may assist address this problem now by optimizing network consumption without compromising the functionality of energy-saving features. Additionally, AI is capable of acting independently on traffic in real-time or even in advance, which enables CSPs to save operational expenses and their energy usage while simultaneously reducing their carbon footprint and promoting sustainability.
4. Security and dependability
We always approach intelligent technology knowing that ethics and trust are essential to AI’s success. Thus, explainability and transparency needs to be incorporated into the systems to guarantee that there is always enough information available to clarify, enhance, or correct problems. It also needs to provide guarantees that the data entering the system is secure, isn’t biased toward any particular result that could lead to AI bias, and is protected against intrusions.
When it comes to AI, security and compliance are frequently issues of worry. However, reliable AI systems may really lessen problems with security and compliance. AI may assist CSPs in safeguarding their networks and the data of their clients by identifying and averting security risks like fraud and cyberattacks. It can also show that CSPs are committed to ethical business practices. In addition, AI algorithms may be used to billing and subscriber management to detect and prevent fraud, which would help CSPs save losses and boost their bottom line.
5. Fresh commercial prospects
CSPs have a special chance to learn more about their clients and their requirements by leveraging AI in their networks to extract insights from the data and behavioral patterns at work. They may use it to find new business prospects, provide focused, customized services to their clients, and take proactive measures to satisfy their clients’ needs depending on their intentions. These services may boost sales and provide a business a competitive edge when used properly.
The practical applications of AI
How then are these advantages being experienced? Where is the utility of AI already being demonstrated? What are the essential components needed to decipher the AI acceleration code? What fresh opportunities are we likely to see down the road? We will go further into all of these topics and more as this blog series goes on.
In-depth discussions of each of the five main advantages will be covered in the next installments, along with real-world examples of how AI is being applied to provide noticeable and substantial commercial value and professional opinions on what to anticipate as we move closer to AI-driven zero-touch operations. Make sure you register right away to avoid missing out!
