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http://dbpedia.org/ontology/abstract Augmented Analytics is an approach of dataAugmented Analytics is an approach of data analytics that employs the use of machine learning and natural language processing to automate analysis processes normally done by a specialist or data scientist. The term was introduced in 2017 by Rita Sallam, Cindi Howson, and Carlie Idoine in a Gartner research paper. Augmented analytics is based on business intelligence and analytics. In the graph extraction step, data from different sources are investigated.a from different sources are investigated.
http://dbpedia.org/ontology/wikiPageExternalLink https://eya.global/eya-envision/ + , https://answerrocket.com + , https://datastories.com + , https://www.yellowfinbi.com/ + , https://dailyedition.ai + , https://www.quaeris.ai + , https://www.lntinfotech.com/ + , https://thoughtspot.com + , https://www.unscrambl.com + , https://outlier.ai + , https://narrative.bi + , https://incites.ai + , https://www.synergies.ai/ +
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rdfs:comment Augmented Analytics is an approach of dataAugmented Analytics is an approach of data analytics that employs the use of machine learning and natural language processing to automate analysis processes normally done by a specialist or data scientist. The term was introduced in 2017 by Rita Sallam, Cindi Howson, and Carlie Idoine in a Gartner research paper. Augmented analytics is based on business intelligence and analytics. In the graph extraction step, data from different sources are investigated.a from different sources are investigated.
rdfs:label Augmented Analytics
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