SAS (previously "Statistical Analysis System") is a software suite developed by SAS Institute for advanced analytics, multivariate analyses, business intelligence, data management, and predictive analytics. SAS was developed at North Carolina State University from 1966 until 1976, when SAS Institute was incorporated.

SAS was further developed in the 1980s and 1990s with the addition of new statistical procedures, additional components and the introduction of JMP. A point-and-click interface was added in version 9 in 2004. A social media analytics product was added in 2010. SAS is a software suite that can mine, alter, manage and retrieve data from a variety of sources and perform statistical analysis on it. 

SAS provides a graphical point-and-click user interface for non-technical users and more advanced options through the SAS language. In order to use Statistical Analysis System, data should be in a spreadsheet table format or SAS format. SAS programs have a DATA step, which retrieves and manipulates data, usually creating a SAS data set, and a PROC step, which analyzes the data

2019 Magic Quadrant: DS + ML

As Gartner puts it in its 2019 Magic Quadrant for Data Science and Machine Learning Platforms, “data science is a core discipline for the development of AI, and ML is a core enabler of AI, but this is not the whole story. ML is about creating and training models; AI is about using those models to infer conclusions under certain conditions. AI is on a different level of aggregation to data science and ML. AI is at the application level.” Gartner adds that, “Data science and ML models must be combined to work together with other capabilities, such as a UI and workflow management, to constitute an AI application. A self-driving car, for example, has ML capability, but its AI requires much more than that.”

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