AI Case Study

The Associated Press transforms raw earnings data into publishable stories using Natural Language Generation

The Associated Press uses Natural Language Generation capabilities of Wordsmith platform to transform raw earnings data into thousands of publishable stories, covering 12X more earnings stories. Wordsmith adapts the writing style to match that of AP. It also saves time and is error-free compared to manually written stories.

Industry

Consumer Goods And Services

Media And Publishing

Project Overview

"AP found answers in automation with the Wordsmith platform from Automated Insights. Wordsmith uses natural language generation to turn data into a written, plain-language narrative. In this case, Wordsmith transforms earnings data from Zacks Investment Research into a publishable AP story in a fraction of a second. In fact, the Wordsmith team specifically configured the natural language generation engine to write in AP style.

As a result, AP now produces 4,400 quarterly earnings stories – a 12-fold increase over its manual efforts. The stories retain the same quality and accuracy that readers expect from any of AP’s human-written articles. Aside from an explanatory note at the bottom of the story, there is no evidence they were written by an algorithm."

Reported Results

The company reports:

* 4,400 quarterly reports produced
* 12X increase over manual reports
* Efficient and error-free reporting

Technology

Function

R And D

Product Development

Background

The Associated Press describes itself as “one of the largest and most trusted sources of independent newsgathering, supplying a steady stream of news to its members, international subscribers and commercial customers.”

Benefits

Data