The Machine learning still needs data scientists to optimise results

"Machine learning is not a one-size-fits-all technology, but a growing library of technologies that need to be understood and deployed correctly to achieve meaningful results."
 Machine learning (ML) can help communications service providers (CSPs) to manage the growing expense of creating and maintaining algorithms built by data scientists. The ability to allow machines to learn insights and relationships through the application of ML techniques means analytics can be applied to more use cases. In addition, ML is a key component in the creation of artificial intelligence, which enables applications to learn from their environments. However, ML is not simple and CSPs and vendors need to carefully select which ML algorithms are used for each use case.

The Hungary telecoms market report 2018

This country report and accompanying data annex provide a comprehensive overview of Hungary's telecoms market, including KPIs and data on subscribers, penetration, revenue and ARPU. The report analyses the strategies

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The Aftermarket automotive propositions: the opportunity for operators

Global automotive Aftermarket sector will lead to large volume of connected devices and significant revenue as such, competition for contracts.

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Asia-Pacific Machine Learning Market (2018-2023)

Asia-Pacific Machine Learning market The value of the machine learning market in Asia-Pacific is expected to reach USD 10.00 Bn by 2023, expanding at a compound annual growth rate (CAGR)

USD 2499 View Report

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