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Why to use machine learning for telecom services?

Large telecoms have largely been successful in retaining their market dominance, but they are increasingly struggling with development and expansion into new industry sectors. Telecoms are expanding into new markets in addition to preserving their position in the IT sector. In order to collect and analyse data in a variety of domains, including customer experience, network automation, business process automation, new digital services, and infrastructure maintenance, companies need to use machine learning for telecom services.
Telecom companies get a ton of highly valuable data that can be leveraged to boost sales, customer retention, and overall revenue by increasing the effectiveness of marketing initiatives. Any company that falls behind in a data-driven environment runs the danger of failing, and in a sector like telecoms, there is no space for speculation. Businesses must use data to drive their choices if they want to compete in the fiercely competitive market of today.
Why to use machine learning for telecom services?
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Why to use machine learning for telecom services?

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