In 2008 SAS announced Project Unity, designed to integrate data quality, data integration, and master data management.
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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.
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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Artificial Intelligence & Data Analytics has helped Max Life Insurance to increase their conversion rates, ability to launch new product, features faster than ever before and continuously engage with the customer.
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According to Semi annual Big Data Analytics spending guide from IDC (International Data Corporation) the big data analytics revenue to reach $260 billion by 2022 with a growth of 11.9% over 2017-2022 forecast period.
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Spotify is one of the top music streaming provider. It uses python for data analysis which helps them in better decision making. And they are also using in back-end services which are written in the python language.
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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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