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 Pay-TV and OTT video services in emerging Asia–Pacific: trends and forecasts 2018–2023

TV and video retail revenue will grow by USD20 billion in the emerging AsiaPacific region between 2018 and 2023. This forecast report analyses the relative strength of IPTV and OTT

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Southeast Asia Worldwide Electronic Medical Records (EMR) Market Report (2014-2024) - Market Size, Share, Price, Trend and Forecast

Abstract:The Southeast Asia Worldwide Electronic Medical Records (EMR) market size is $XX million USD in 2018 with XX CAGR from 2014 to 2018, and it is expected to reach $XX

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Southeast Asia Start The Machine Market Report (2014-2024) - Market Size, Share, Price, Trend and Forecast

Abstract:The Southeast Asia Start The Machine market size is $XX million USD in 2018 with XX CAGR from 2014 to 2018, and it is expected to reach $XX million USD

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