Examples of using Big data analysis in English and their translations into Spanish
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Machine vision systems, big data analysis, industry 4.0.
Big Data analysis allows to extract information from these data. .
Big data analysis techniques brought to you by a user friendly interface.
Compatible with the major LoT platforms for Big Data analysis.
abstract big data analysis illustration, digital technology.
Big Data analysis regularly monitors the condition of your machines- regardless of the motor manufacturer
The seminar"Big data analysis and machine-based learning" linked to the EYE-RISK European project, in which the BMF played an active part, took place alongside the Congress.
climate forecasting, big data analysis, and artificial intelligence to develop the recommendations for farmers.
climate forecasting, big data analysis, and artificial intelligence to develop the recommendations for farmers.
incorporate new measures that are only possible due to big data analysis.
The aim of this big data analysis was to discover user preferences and take them into account when producing new episodes.
understand the results of big data analysis effectively.
Using Big Data analysis, they can project where
Be transparent as to how data will be used in big data analysis, and add in privacy notices at the appropriate stages in a big data collection project.
cloud computing and big data analysis were driving forward the digital revolution.
manufacturers trust in Epinium as a partner for market intelligence and big data analysis.
connectivity, Big Data analysis and other success stories of transformation during the"Digital Talks" held on 30th May.
financial analysis, real-time video processing, big data analysis, and security workloads by leveraging custom hardware accelerations.
The full interconnection between the results of Big Data analysis and BI has to deal with the problem of establishing the relationship between these results
The first agencies to begin performing Big Data analysis were scientific communities with access to expensive supercomputing environments designed specifically to analyze sources of large volumes of data. .