With technology evolving faster than ever and with the promises of AI to revolutionize the world that we live in, we keep wondering where we can already see these changes. The truth is that for most people, they are in front of your eyes when you are reading your morning paper.
Big Players Are Using AI
The biggest players in the industry including Washington Post, Reuters, Associated Press, and The New York Times, are already using artificial intelligence to write their articles every single day. So, automated journalism is not a mirage; it already arrived and you are already benefiting from it.
One of the things that may surprise you is that only the Press Association is able to produce 30,000 local news stories every month. Besides, if you are thinking that these are just the news answering to the main questions who, what, where, and when, they already passed that. The truth is that AI is already being used to produce creative writing endeavors such as novels and even poetry.
How Is AI Part Of The Automated Journalism
AI is already writing the content using a software that automatically creates a written narrative from the data that you provide. This is called NLG (natural language generation).
While you may think that NLG is just being used as a way for automated journalism to work, the truth is that it is already being used for other purposes. These include personalized email, business data reports, intelligence dashboards, client financial portfolio updates, in-app messaging communication, among many others.
In order to work with the NLG, you will need to define the type of content that you want. As you can imagine, you can choose from a poetry to financial reports, and even social media posts. And the most interesting fact about NLG is that it is perfectly capable of adapting the structure and writing style depending on what you need.
One of the things that you need to keep in mind to have the NLG working is that you need ownership and access to the data. As soon as you pass it to the software, the NLG processes it through “conditional logic”.
Ultimately, the main goal is to make the output to sound like a real human being.
Why Are Organizations Investing In NLG’s?
One of the things that you need to understand is that NLG’s add more efficiency where there is a need to deal with large datasets. While the NLG can do this in just a few seconds or minutes, humans would take hours. Besides, there is always the risk of human errors.
Another reason why big companies are investing in NLGs and increasing the automated journalism is that when they’re using the NLG, they can add a lot of personalization. Besides, the NLG should also be able to write the key insights and written summaries to display the information as a whole.
#contentweapons, Content Weapons
J. Michael Stattelman