AI for Network Optimization
Author: Alaa Negeda
Artificial Intelligence in the telecom industry encompasses a myriad of focus areas. Moreover, Customer service and network optimization are at the top of that list. Although throughout this year, some of the biggest implementations of AI will be in these spaces this seems redundant.
Predictive analytics
Predictive analytics is one of the most promising capabilities of this technology, especially for the telecom community. AI-based analytics provide telecom companies with the ability to use data and machine learning software
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AI and Telecoms
As no longer limited to providing basic phone and internet service. Also, the telecom industry is at the epicenter of technological growth, led by mobile and broadband services in the Internet of Things (IoT) era. So this growth is expected to continue, with Technavio predicting that the global telecom IoT market will post an impressive CAGR of more than 42% by 2020. The driver of this growth? Artificial intelligence (AI).
It is essential for helping CSPs build self-optimizing networks (SONs). Also that gives operators the ability to automatically optimize network quality based on traffic information by region and time zone.
Artificial Intelligence applications in the telecommunications industry use advanced algorithms to look for patterns within the data. That enables telcos to both detect and predict network anomalies and allows them to proactively fix problems before customers are negatively impacted.
Robotic process automation RPA for Telecoms
Although, CSPs have vast numbers of customers engaged in millions of daily transactions, each is susceptible to human error. Robotic Process Automation (RPA) is a form of business process automation technology based on AI.
Senior Solution Architect with 23 years of experience in different Technology sectors. Diligent, forward-thinking, and adaptable to dynamic company, customer, and project needs.
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