{"id":1773,"date":"2022-06-28T21:55:54","date_gmt":"2022-06-29T01:55:54","guid":{"rendered":"https:\/\/arriablog22dev.wpengine.com\/?p=1773"},"modified":"2022-06-30T15:16:48","modified_gmt":"2022-06-30T19:16:48","slug":"insidebigdata-more-than-you-know-the-enterprise-worth-of-natural-language-generation","status":"publish","type":"post","link":"https:\/\/www.arria.com\/blog\/insidebigdata-more-than-you-know-the-enterprise-worth-of-natural-language-generation\/","title":{"rendered":"insideBIGDATA: More Than You Know: The enterprise worth of Natural Language Generation"},"content":{"rendered":"\n

In a recent article<\/a>, insideBIGDATA explores how Arria\u2019s technology adds to an organization\u2019s value by synthesizing queries in natural language, analyzing a plethora of data sources, and presenting the results in natural language. They acknowledge Arria\u2019s ability to support an array of use cases due to its inherent linguistic appeal \u2013 from increasing the scale of reporting to democratizing analytics throughout the enterprise.<\/p>\n\n\n\n

\u201cWhat people want to do is articulate what they want in a fast, natural sort of way, rather than applying filters and drilldowns and toggling sliders and things,\u201d Arria\u2019s CTO Neil Burnett added. \u201cFor the most part, people are really good at articulating themselves in words.\u201d<\/p>\n\n\n\n

According to the authors, Arria\u2019s technology, which they refer to as a \u201ctriple threat,\u201d offers three principle benefits: \u201cThey support queries in natural language, responses in natural language, and backend analytics, devoid of external tooling (which can be employed if desired), to get the right answers users need from their data.\u201d<\/p>\n\n\n\n

READ THE ENTIRE ARTICLE HERE > insideBIGDATA<\/a><\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

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