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SAS Viya

SOLUTION OVERVIEWO verviewOrganizations face increasing demands for high-powered analytics that produce fast, trustworthy results. Whether it s providing teams of data scientists with advanced machine learning capabilities or delivering mobile applications that give decision makers real-time answers, several things are critical to meeting enterprise analytical needs. Superfast processing for large-scale data manipulation, exploration, advanced analytics and artificial intelligence (AI). Analytical assets that can be easily managed, maintained and governed. Scalable, dynamic and optimized analytics processing in any environment.

like Python, R, Java and Lua. ... different tools to manage data access, preparation, interactive explo - ration, statistics, forecasting, optimization, machine learning, artificial ... Open source technologies are dispersed, need customized support and often aren’t integrated.

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