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Using public cloud to tackle the top telecoms challenges in managing data and analytics

This paper looks at the key challenges that telecom operators face when using data and analytics withintheir organizations and the advantages of using public cloud solutions in solving them. Data is the new ‘oil’in a digital world, but telecom operators are challenged with processing, refining, and using data efficiently.Critical telecoms processes and metrics already enable operators to manage their operations and resources, butto advance operators must improve their ability to use the data they have more effectively. Advances in data andanalytics have become central to operators as they implement transformation projects to deliver new capabilitiesthat include <br /> Telecom operators already have their own massive scale data storage and compute infrastructure but havesignificant challenges to right-size their infrastructure and deploy the latest tools and technologies. Newtransformational projects that use machine learning (ML), for example, may need temporary support for largedata sets and infrastructure to develop new algorithms. Such data sets will no longer be required when theproject is completed, so building infrastructure for this peak requirement is not efficient. An ability to quicklyexperiment or create ad hoc reports also drives the need for infrastructure for a short period of time.

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