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, itβs 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.
India is considering the military usage of Artificial Intelligence (AI) for national security and military strategic purposes and the government is studying a report recommending the dual use of technology in aviation, naval, land systems, cyber, nuclear and biological warfare.
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SAS announced project unity in 2008, designed to integrate data quality, data integration and master data management.
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According to a latest report from WiseGuy, the global big data analytics in Healthcare market is growing at a rate of 19% CAGR by 2025. It means that, huge no. of jobs is created in future. Get trained on Big Data Analytics course. Contact us@ 080 48147185 / 40952721
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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Instagram is the largest photo sharing social media platform. 100 million photos and videos are uploaded on Instagram every day. A massive amount of data is generated and it is not possible for humans to analyze that amount of data. So they use the Python programming language to analyze data.
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