AI in Telecommunication: Revolutionizing the Connected World with Artificial Brain
Artificial intelligence (AI) is a technology that focuses on creating intelligent machines which are able to imitate human intelligence in processes such as speech recognition, decision making, visual perception, and translation between languages. AI is expected to redesign the network and help to manage and secure the network. Technologies that are used in the telecommunication industry are machine learning and expert system.
AI in telecommunication can be more beneficial if operators upgrade their network system to software-defined networks. SDN network is a cloud computing solution that facilitates network management and helps to enhance the efficiency of network configuration.
AI-powered IoT can do more than help avoid unplanned downtime. It can also help improve operational efficiency. This is due in part to the power of machine learning to generate fast and precise predictions and deep insights—and to AI technologies’ ability to automate a growing variety of tasks.
For example, for Hershey, managing the weight of their products during the production process is critical: Every 1 percent improvement in weight precision can mean more than $500,000 in savings for a 14,000-gallon batch of product such as Twizzlers.
The company used IoT and machine learning to significantly reduce weight variability during production. Data is captured and analyzed by the second, and weight variability can be predicted by machine learning models, enabling 240 process adjustments per day, compared to just 12 per day before the ML-powered IoT solution was installed.
AI-based prediction is also helping Google cut 40 percent of data center cooling costs. The solution, trained on data from sensors in the facility, predicts temperature and pressure over the next hour to guide actions for limiting power consumption.
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