Sentence examples for massive use of data from inspiring English sources

Meanwhile, the mobile networks themselves were unprepared for the massive use of data that the iPhone was delivering, which sometimes led to the degradation of the shared streams.

AT&T has indicated in recent weeks that that massive use of data on the iPhone was an issue that was leading to data degradation.

This is increasingly fueled by new discoveries in computer science and data science, coupled with the quick-paced ubiquity and massive use of computational and data analytics within a variety of urban domains to address the complex challenges of sustainability and urbanization facing the city.

Finally, the massive use of ChIp-Chip data makes it possible to reveal important protein/DNA interaction, thus allowing the enrichment of genomic data with functional data, an extra layer of information that could certainly be incorporated in sequence alignment strategies such as the ones we report here.

Without the orthodox protection of a requirement for a warrant from an independent authority, the prospect of massive official access to and use of data will leave an otherwise beneficial law highly problematic.

Blackwell, who was appointed by the Mayor of London's Office, adds that London has a "massive digital economy" based upon the use of data and so it made sense for the city to host the conversation about corporate responsibility and openness - particularly with the incoming General Data Protection Regulations GDPRR).

He will describe how managers can make informed and intelligent business decisions quickly, using massive amounts of data, making use of the latest tools.

Industry 4.0 is now commonly used to refer to the development of "cyber-physical systems" (CPS) and dynamic data processes that use massive amounts of data to drive smart machines [1].

Various institutes store and use massive amounts of data which are further utilized for generating reports to guarantee stability regarding the services they propose.

Compass has made a name for itself as the creator of the Startup Genome Reports, which use massive amounts of data to try and analyze the factors that contribute to a startup's success or failure.

This is all too often the case as black-box algorithms use massive amounts of data to attract eyeballs, encourage clicks, and, in more dire circumstances, even determine if someone goes to prison.