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What Machine Learning Can Do For the Telecom Industry

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What Machine Learning Can Do For the Telecom Industry


Machine learning (ML) in telecom can help network operators enhance their services, increase their profits, and reduce customer churn.

As the number of smartphones and other smart device users is increasing, the chances for the telecommunications industry to increase sales is always on the rise. As the market seems to move ahead every day, telecom providers look to improve services to ensure customer retention. Mapping key trends and focusing on how their strategies work are some of the challenges that a telecommunication provider currently faces. Apart from merely mapping a company’s strategies and fixing towers, mapping competitor’s strategies and social media help businesses to achieve a broader base to reach out to their customers. Machine learning is a technology that learns from the information and algorithms provided to it and returns output that has a significant impact on several industries. ML in telecom can be a technology that can help providers across several aspects.

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1. Enhancing Services & Increasing Profits

Social media is transforming from being just a communication portal to a full-fledged business platform that allows enterprises to obtain access to a plethora of customers. One of the other benefits of social media is that it puts the company on a global pedestal. Information from such sources is essential to businesses as it can help them in gaining insights about what their customer thinks about their services and how they can focus on improving their services to increase customer retention. With ML in telecom, companies can focus on how they can change their strategies based on the algorithms provided to the machine. Another method of improving customer experience and ensuring customer retention is by focusing on reducing the time taken to fix the broken towers and the amount of time for which consumers have to be without the services. Traditional methods of fixing sleeping cells and towers are by physically locating the same. With the help of machine learning in telecom, these towers can communicate with the control room about possible failure. When a company realizes the threat that hangs above, they can focus on quickly dispensing the repair teams to fix the tower and immediately solve the problem.

2. Reducing Churning

As the current market scenario is heating up due to newer telecom providers appearing, customer churning is regular. With customer churning on the rise, companies can focus on how they can improve their services and provide offers that can avoid customers from churning and make the customer realize that the company is customer-centric. With ML in telecom, companies can keep track of why their customers are turning to other companies and how they can update their policies to ensure customer retention and minimize customer churning. Machine learning also assists in informing companies about the possible churners even before they intend to leave.



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TECHNOLOGY

IDC predicts cloud infrastructure spending this year will hit $90.2B

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IDC predicts cloud infrastructure spending this year will hit $90.2B


IDC forecasts that cloud infrastructure spending will exceed $90 billion in 2022.

In Q1 2022, IDC found that spending on compute and storage infrastructure products for cloud deployments – including dedicated and shared environments – increased 17.2 percent year-over-year to $18.3 billion.

The firm’s analysts note the strong growth is despite “tight supply of some system components and disruptions in transportation networks.”

Dedicated cloud infrastructure spending increased an impressive 20.5 percent year-over-year in Q1 2022 to reach $5.9 billion. 47.8 percent of the infrastructure was deployed on-prem.

Spending on shared cloud infrastructure also continues to grow healthily with $12.5 billion spent in Q1 2022, a 15.7 percent year-over-year increase. IDC expects spending on shared cloud infrastructure to surpass non-cloud infrastructure for the first time in 2022.

Overall, IDC forecasts cloud infrastructure spending to grow 22 percent in 2022 compared to 2021 to hit $90.2 billion.

Long-term, the company expects spending on compute and storage cloud infrastructure will have a compound annual growth rate of 14.5 percent between 2021-2026 to reach $145.2 billion.

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(Photo by Giorgio Trovato on Unsplash)

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