The growth and popularity of R programming have been helping data-driven organizations succeed for years. Nearly every industry now sees data and analytics as a strategic competitive advantage, and R is the language of choice for the data analyst. Because of its popularity, not only is R helping drive success for companies using it, it’s driving its success as the industry standard for using data effectively. Here are a few examples of how companies use R to drive their bottom line.
Spam may seem like an old cyber threat that appears to be outdated but it is evolving. It looks like machine learning will be used now and in the future to mitigate threats and combat spam.
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Twitter uses R for Data Visualization and Semantic Clustering. Twitter has created some super impressive projects using R. They also have created open-source packages for anomaly and breakout detection, which has helped improve their customer experience.
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SAS uses AI for its Analytics platform. It helps users to better understand and adjust their model. It helps organisations to ensure fairness and transparency for deploying AI solutions.
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