19th February 2018

Arria announces the public release of Studio


We are pleased to announce the release of version 1.0.0 of NLG Studio. With this release, we are bringing our unparalleled NLG tool to the general public, with improvements on the earlier controlled release. NLG Studio is already in high

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3rd April 2017

What is NLG? : White Paper Download


Free download 

Turn your numbers into valuable insights in seconds 

Natural Language Generation (NLG) is a subfield of AI that automates the analysis and interpretation of your data, turning it into actionable written insight reports.
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8th March 2017

Five things you need to know about NLG


Author: Caroline Smart

The trouble with NLG is that even after you find out what the three letters stand for (Natural Language Generation), you may be none the wiser. It’s when you understand what NLG does, that you appreciate the world of possibilities it opens up.

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23rd February 2017

Automation, employees and the bottom line


Originally featured: CIODive



Though it is often approached with fear, automation doesn’t necessarily mean bad things for employees.

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9th February 2017

NLG Tools Automate Analysis


Originally featured: Eckerson Group


It is often said that a picture is worth a thousand words. But in the era of big data, a paragraph from a natural language generation (NLG) tool might be worth a thousand pictures.

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2nd February 2017

10 AI companies to watch out for in 2017


Originally featured: Techseen

 

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18th January 2017

Gartner : NLG will become a standard in analytics


Exerpt taken from original article published by Gartner

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10th January 2017

What is NLG, and how does it relate to NLP and other forms of AI?


Author: Ehud Reiter



I sometimes find that people are confused about the difference between NLG, NLP and AI. This blog aims to make the differences clear.  Apologies in advance for all the acronyms!

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9th January 2017

Finding a voice


Originally featured: The Economist 



Language: Finding a voice

Computers have got much better at translation, voice recognition and speech synthesis, says Lane Greene. But they still don’t understand the meaning of language

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