7 Ways AI Solutions Will Change the Telecom Industry
Artificial Intelligence is powering the digitization goals for organisations all over the world. According to a Gartner survey, 37 per cent of organizations have implemented AI in some form. That’s a 270% increase over the last four years. Thus, AI is playing a crucial role in the optimization of the Telecom Industry, as well. Certainly, it is impacting this sector in every field, whether it is:
- Internal cross-functions amongst employees
- Stakeholders or external functions
AI and ML go as far back as 1993 in the context of telecom. However, AI has seen a renewed interest in the telecom sector, primarily due to network technology’s rising complexity. So, here are a few ways in which AI solutions are changing the telecom industry:
1. Networking Operations and Optimization
AI is essential in helping build self-optimizing networks. It enables operators to automatically optimise network quality based on traffic information by region and time zone. Also, it uses advanced algorithms to look for patterns within the data. As a result, it helps the telecoms in detecting and further predicting network anomalies. Moreover, it allows them to fix problems before it impacts customers negatively.
Certainly, there are several benefits of AI and ML in telecom networking applications like:
- Anomaly detection
- Performance monitoring
- Trouble ticket action recommendation
- Automated resolution of tickets
- Planning network capacity
2. Predictive Maintenance
Predictive Analysis using AI and ML is helping the telecom sector in providing better services. Future results are predicted based on historical data using sophisticated algorithms. Thus, telecom operators can use these data-driven insights to:
- Monitor the state of equipment
- Anticipate failure based on patterns
- Fix problems with communications hardware, such as cell towers, power lines, and data center servers
Further, these insights can also be useful in the long-term. As a result, it will help achieve more strategic goals, such as creating new customer experiences and dealing efficiently with emerging business needs.
3. Fraud Detection and Cybersecurity
According to the Communications Fraud Control Association, fraud costs the global telecom industry $38 billion annually. Thus, this industry uses Artificial Intelligence to identify and prevent fraud by detecting any unusual behaviour and patterns. Further, they also use traditional cybersecurity technologies.
AI techniques such as neural networks and ML are in use for many years to improve the detection of malicious code and other threats within telecom traffic. Further, it can automatically take action or present human security analysts with proper data and recommendations to aid them in the decision-making process.
4. Virtual Assistants for Customer Support
One of the most critical AI applications in telecom is the use of Voice Assistants and Chatbots to replace human call-center agents. The voice bots can have a human-like conversation with the customers and provide a seamless experience. Further, AI-Powered chatbots can help customers in efficient self-service interactions. In fact, they are so effective that they might cut business expenses by as much as $8 billion annually in 2022, according to projections by Juniper Research.
So, here are some benefits of using AI-Powered call center automation in telecoms:
- Answer customer queries instantly
- Save costs
- Identify customer intent
- Bridge human agents
- Provide multilingual support
Moreover, using AI-Powered Speech-to-text technology, call centers can also get valuable business insights that can help to boost their sales. Furthermore, speech analysis can help in monitoring calls and determining customer sentiment. As a result, it contributes to providing a seamless customer service experience.
5. Customer Relationship Management (CRM)
CRM is a technology that manages all of your company’s relationships and interactions with customers and potential customers. Moreover, CRM tools let you do several tasks at once, like:
- Store customer and prospect contact information
- Identify sales opportunities
- Record service issues
- Manage marketing campaigns
Certainly, AI can be applied to CRM to make these tasks easier. It can be helpful in areas like:
- Personalised promotions
- Cross-sell/Up-sell opportunity identification
- Prediction and mitigation
In fact, research by a group called Wise Athena investigated the use of deep learning to predict customer churn in a mobile telecom operator. As a result, they found these CRM methods more accurate than the previous methods.
6. Robotic Process Automation
It is a form of business process automation technology based on AI. RPA can bring greater efficiency to the Telecom Industry. Further, it allows them to easily manage their back-office operations and large volumes of repetitive and rules-based actions. Moreover, using RPA can free-up staff for higher value-add work by streamlining the execution of long and complex labour-intensive processes. Thus, it can be helpful in tasks like:
- Data entry
- Workforce management
- Order fulfillment
7. Mobile Tower Monitoring
Monitoring mobile towers can be made easier for telecoms with the help of Artificial Intelligence. Using it can help in:
- Maintenance of mobile tower functions
- Checking network quality
- Troubleshooting connectivity issues
- Optimizing network
- Managing assets
- Surveillance using AI-driven video analytics
- Enhancing network utilization using IoT sensors
- Asset Management
Artificial Intelligence applications in the telecom industry are increasingly helping to manage, optimise, and maintain infrastructure and customer support operations. Soon, we can expect AI to accelerate its growth in the competitive space. In conclusion, it will penetrate every sphere of a telecom company and transform it for the better.
We help in providing AI-Powered speech solutions like voice bots and speech analysis for telecom providers. To know more, see our services in telecom. We are offering a live demo of our AI-Powered solution to answer your queries.