Augmented analytics is the latest disruption seen in the world of BI. This technology uses ML and NLG to automate insights so that business users can quickly gather, collate, prepare, and analyze data to extract on-demand intelligence whenever they need it during their daily work. Currently, augmented analytics automates tedious data preparation tasks, such as data cleaning, data labeling, and data collection, and serve as a great complement to existing data scientists or analysts
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