Telecom Industry

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Telecommunications is one of the industries that use artificial intelligence in many aspects of business today. Through virtual assistants and chatbots, and the artificial intelligence that runs these tools behind the scenes, telecommunications companies improve customer service and satisfaction. Artificial intelligence is essential for the optimization and predictive maintenance of telecommunications companies’ networks. AI is also hard at work detecting fraudulent activity. Additionally, through predictive analytics, artificial intelligence makes it possible for telecoms to glean actionable business insights from the volumes of data they gather every day. 

 Because the telecom industry enables internet device connectivity it is one of the largest players in the Internet of Things market, everyday items that are connected to one another and the internet. Internet of Things technology helps telecoms monitor base stations and data centers remotely. This helps ensure minimal downtime for the network. Since telecom is so instrumental in providing IoT infrastructure, the industry is uniquely poised to develop and offer its own services for IoT. Since IoT technology results in more devices on the network, there are more opportunities for security and privacy breaches to occur so telecoms need to plan and prepare defenses for that. While there are still a lot of unknowns regarding the transformation IoT will have for telecoms, there’s little doubt that it will disrupt the industry. 

 It’s undeniable that telecommunications companies are collecting and generating volumes of data from mobile devices and apps, wearables, and more— wireless data is expected to continue to increase through the coming years—but it will be the companies that use it to their competitive advantage that will survive. Telecommunications companies need to ensure that their networks can move extraordinary amounts of data through their network efficiently and continue to support new technologies. Telecoms also need to address the new security challenges that have arisen with new technology that uses their networks. Ultimately, the data that telecoms collect can be analyzed to improve customer service, determine and evaluate new products, as well as monitor and optimize the network. When evaluated and acted upon, big data can help telecoms build a stronger business. 

 Robotic process automation can take over repetitive, rules-based, high-frequency processes and complete them very accurately. When telecoms deploy RPA for tasks, error rates and costs are reduced while customer service and operational efficiency are boosted. The telecommunications industry has one of the highest adoption rates of RPA technology since it seems to serve it so well. RPA offers high levels of scalability and agility for telecoms and can take over many tasks such as report generation, responding to customer questions, order processing, price tracking, and more. 

 Cloud computing’s pay-per-use service model helps telecoms introduce new services, reduce their costs and adjust to market demands more effectively. The cloud offers economies of scale, scalability, and cost-effectiveness to telecoms. Not only can telecoms be a cloud service provider, but they can use the cloud themselves. When telecoms adopt cloud technology and switch important business functions to the cloud, they benefit from the cloud’s efficiency.