MobileComm Schedule A Demo Artificial Intelligence ARTIFICIAL INTELLIGENCE / MACHINE LEARNING IN TELECOMMUNICATIONS About Us ARTIFICIAL INTELLIGENCE / MACHINE LEARNING IN TELECOMMUNICATIONS AI/ML plays a multifold role in the telecommunications industry. While the emergence of 5G in the telecommunications industry has opened the gates to a new universe of opportunities and possibilities, AI/ML actually acts as an enabler and offers the opportunity for myriad new use cases. Enterprises use data, automation, and digitalization to differentiate themselves and gain a competitive edge. 5G, driven by AI/ML and edge compute, creates a private wireless infrastructure with multiple new applications in the Internet of Things (IoT) environment and the global digital transformation. Another important aspect is that AI/ML will significantly reduce costs in the mobile network infrastructure by automating functions that typically require human interaction and speed up the deployment of new revenue-generating service offerings. This is becoming increasingly important as edge, open radio access networks (OpenRAN), and cloud-native 5G cores become more prevalent. 5G is the newest wireless technology, with higher speeds, lower latency, and the capacity to link many sensors. Since AI/ML helps telcos achieve improved performance in the short and long term, it has become a vital part of their digital transformation and service integration journey. CSPs (Communication Service Providers) are under growing pressure to provide higher-quality services and deliver a better client experience. One way to achieve this is by combining large volumes of data gathered over time from their massive customer base. Additionally, AI represents a modern computing paradigm in which algorithms learn from data to effectively manage the ever-increasing volume of data generated by sensors, including the ability to identify patterns and trends in real-time. GROWTH ENGINE The worldwide AI in the Telecommunication market is expected to grow from USD 773 million in 2019, and a CAGR of 49.8% to USD 1.3450 billion by 2026. The rising deployment of AI for various applications in the telecommunication sector, as well as the use of AI-enabled smartphones, are major drivers for the expansion of AI in the telecommunication market. Furthermore, the proliferation of Over-The-Top (OTT) services such as video streaming have changed how audio and video content is distributed and consumed. Consumer demand for bandwidth has risen dramatically as more people rely on OTT services. The increase in traffic on OTT services is connected to the telecom industry's high operating expenses (OpEx). By reducing the amount of human interaction necessary to configure and maintain networks, businesses will accelerate client enrollment and new service introductions. Automation is key to these criticaladvancements. BENEFITS AI/ML will be pivotal in improving network performance, reliability, and many more network challenges. 1. Network Overload Prevention With AI in place, the network will leverage algorithms to respond instantly to any substantial infrastructure overload that may occur. The network will be able to detect an overload, automatically build the number of virtual computers needed to manage the incoming traffic, and divert the extra traffic via these virtual machines, all without the need for human intervention. 2. Personalized Upselling and Better Customer Targeting AI and data analytics may be coupled to assist you to obtain a better understanding of your subscribers' tastes and offer them better-tailored service packages at the times when they are most inclined to order. Machine learning algorithms, in particular, natural language understanding, image recognition, and video processing can discover the different types of information that your subscribers consume over time, understand their interests, and find related content that you can serve to them. 3. Attracting New Clients/New Business Models Industry 4.0 application cases will be realized because of 5G's fast speed, low latency, and dense deployment of endpoints like sensors, robotics, and video cameras. This creates a substantial new revenue potential for telecom operators, allowing them to provide revolutionary process automation services powered by AI at the edge, in addition to providing outsourced IT services to businesses. Intelligent video analytics for object recognition and automated inference, as well as sensor data analytics and industrial equipment control for preventative maintenance, are examples of services. 4. Keeping Malicious Acts at Bay Machine learning can effectively protect your network from dangerous behaviors such as DDoS attacks. Your network can be trained to recognize a huge number of identical requests that are overwhelming resources at the same time and decide whether to refuse these requests outright or divert them to a less busy data center to be handled manually by your personnel or automatically by machines. 5. Customer Service Enhancement Intelligent virtual assistants can help you interact with your customers more effectively. AI, as a core technology, can help telecom companies reimagine customer connections at scale by enabling tailored, intelligent, and persistent two-way dialogues TECHNOLOGY FOR TELECOM Machine Learning RPA Deep Learning Natural Learning Process AI SOFTWARE APPLICATION Platform Based AI Software MEC Cloud Based AI Tools AI-assisted Service Management AI Module based on Software-as-a-Services USE CASES 1. Anomaly Detection and Automated Baseline Creation Anomaly detection and automated baseline creation checks for breaches of key performance metrics, quality performance, and customer satisfaction indicators. The job of telecom experts is optimized by grouping infractions into anomalies, root-cause research of these anomalies, and long-term predictions. Anomaly detection based on machine learning may find performance indicators in a data collection that do not comply with an anticipated pattern and expand the breadth of detection by uncovering new patterns made up of multiple baseline breaches. Then, once an anomaly is discovered, it can be prioritized, and the instances with the greatest priority may be evaluated first, considerably speeding up the process. 2. Automated Situation Detection Users can utilize automated situation detection to find occurrences that don't follow the anticipated pattern and discover relationships between them. This is far more efficient than performing these tasks manually. A circumstance can be prioritized depending on its identification once it has been discovered. Cases of the greatest priority can be assessed first, speeding up the process and ensuring that the system can run at maximum capacity. 3. Network Optimization AI is critical in assisting CSPs in the development of self-optimizing networks (SONs), which allow operators to autonomously adjust network quality based on traffic data by area and time zone. In the telecommunications business, artificial intelligence applications utilize powerful algorithms to seek patterns in data, allowing telcos to both discover and forecast network abnormalities, as well as to proactively address problems before consumers are harmed. 4. Predictive Maintenance Predictive maintenance will help telecommunications deliver better services by proactively repairing faults with communications technology, monitoring the status of equipment, forecasting failure based on trends, and more. 5. Virtual Assistants The large volume of support requests for installation, setup, troubleshooting, and maintenance, which often overload customer care centers, has led telcos to turn to virtual assistants for assistance. Self-service features that show clients how to install and manage their own devices can be implemented using AI. CONCLUSION Artificial intelligence will improve the performance of a telecommunications network significantly. The telecoms network can run autonomously and make competent decisions to shrink the network with the use of artificial intelligence and machine learning. Furthermore, the growing requirement to track material on telecommunications networks and to encourage the elimination of human mistakes from telecommunications networks is the key reason driving AI's rise in the telecoms business. There is a definite change in the industry with telcos partnering with system integrators and or forming their own software team to leverage independent AI technologies. Partnerships and alliances in a multi-edge/multi-cloud environment, service-based architecture, open platform with API layer, and edge applications will encourage independent AI-based software services to drive volume business opportunities with system integrators acting as an enabler in the 5G era. This can be accomplished by integrating a service layer architecture and leveraging software tools like AI/ML. At MobileComm, we have been leveraging AI/ML to help telcos optimize network planning and lower costs. As a leader in 5G network deployment services and tools, we are excited to talk to you about your specific AI/ML use cases and network automation strategies. Please contact us and our experts will be delighted to connect with you. Written By:Rajeev Gandhi Date:15 November 2021 Artificial Intelligence Share this post Related Posts Planning & Design A 5G RF Design Engagement Using mPulse and mmWave Small Cells Spotlighting Nationwide Small Cell Deployment Categories Planning & Design 1 Small Cells 1 Corporate Responsibility 1 Artificial Intelligence 1 Popular Posts Planning & Design Small Cells Corporate Responsibility Artificial Intelligence Popular tags RF Design 5G mmWave Small Cells Network Deployment Social Responsibility Climate GHG Reduction SME Hub Artificial Intelligence Machine Learning Telecommunication AI/ML Growth Engine Business Models Customer Targeting RPA Deep Learning Natural Learning MEC Network Optimization Virtual Assistants We are MobileComm! +1 (214) 575-4500 Portfolio Network Services Infrastructure Rollout Performance Assurance Automation & Analytics Open RAN Services Company Why MobileComm Leadership Blogs Events Contact Contact Us Careers FAQs Schedule A Demo © MobileComm Professionals Inc 2021 | Built With By Ikabit Privacy Policy