Does Automated Content Writing mean the end of Human Content Writers?
Back in 2015, Gartner, the world’s leading research and advisory company, predicted that a full twenty percent of all business content would be generated by Automated Content Writers in 2018. This includes market reports, shareholder statements, legal documents, press releases, articles, white papers and more. Does Automated Content Writing mean the end of Human Content Writers? It’s a great question and one that you will understand much better after reading this article.
Automated Content Writing presents great new opportunities in terms of content writing, but does it present a threat to human content writers? Marketers rely on content more than ever to deliver their strategic business models to customers and potential customers. To get enough fresh, new content to the scale that marketers require it makes Automated Content Writing a great option. However, traditional, human writing cannot be replaced completely nor should it be.
What is Automated Content Writing?
Automated Content Writing is a form of Artificial Intelligence that takes data and turns it into text. The system generates content based on a set of rules that it has been taught to connect the data points and make human-relatable articles and other content. You have probably been reading a simple form of Automated Content Writing for many years without realizing it. One great example is the Associated Press’ use of financial data that is translated quickly and easily into earnings reports and other articles by very basic, super fast Automated Content Writing systems.
Automated Content Writing involves three forms of Artificial Intelligence known as NLP, NLU and NLG. NLP, or Natural Language processing, is the machine’s ability to comprehend human language. NLU, or Natural Language Understanding, is the machine’s ability to interpret human language to machine language. NLG, or Natural Language Generation, is the deep learning algorithm that generates human readable text from data after NLP and NLU have had their turns at comprehension and interpretation. These technologies can be simple or complex depending on their structure and programming.
Automated Content Writing vs. Human Content Writing
Chances are good that you have read content created by simple Automated Content Writing systems in the last week, and it was likely in the form of a report, article or live sports commentary. Some paid advertisements that may have caught your eye were written by basic Automated Content Writing systems. The Associated Press, as one example, uses simple Automated Content Writing to generate most of their US corporate earnings articles, freeing more time for their reporters to concentrate on in-depth stories. Beverage giant Coca-Cola has also been using Automated Content Writing to create automated narratives to advertise their products online.Those are some examples of simple Automated Content Writing. The fact that these articles and adverts caught your eye proves that Automated Content Writing can easily create eye-catching content.
When it comes to producing content at scale, Automated Content Writing is highly beneficial. Compared to their human counterparts, Automated Content Writing systems can produce thousands or even millions of texts in a shorter amount of time. Complex, algorithm-based Automated Content Writing solutions, such as those offered by Phrasetech, help companies address the multitude of digital avenues available to them that demand content. By pairing this sophisticated form of Automated Content Writing, Phrasetech can implement systems that free humans from the burden of the writing process. Automated Content Writing is able to process through large amounts of data and turn it into a readable text that is interesting and valued by human readers.
What is the difference between a basic and a more complex Automated Content Writing solution?
A complex is designed to generate human-readable articles from loads of data. The difference between Automated Content Writing generated by simple formulas versus advanced algorithms is the detail involved in not only the data gathered by the system, but also the final output. For example, finding the box scores of minor league baseball teams at the end of a sports day and creating a score chart is relatively simple in terms of content. In comparison, gathering, compiling and structuring thousands of human-readable articles on the type of shoe baseball players wear and how to purchase them is far more complex.
With Automated Content Writing generated by Phrasetech, your audience will never guess that the content they are reading was written by a machine. Through innovative technology, vast amounts of data are combined into a sensible structure. This structure is then completed with human-quality narrative and forms multitudes of articles that captivate a human audience. Hard working, smart, efficiently managed; Automated Content Writing is the perfect addition to a content marketing strategy with human leaders.
Should you consider Automated Content Writing?
At the time of this writing, half of all companies use some form of Automated Content Writing for their marketing. While AI is certainly considered a disruptive technology, it is more likely to be used in tandem with human content writers instead of replacing them. This combination provides a high level of quality for all content used by a company as whole. Moving beyond basic systems, Automated Content Writing can provide a company with full control of the way their content presents their brand, standards, styles and tone if it is programmed with the complexity to do so.
As the technology leader in Automated Content Writing, Phrasetech has the ability to generate bulk amounts of content and maintain a high level of quality through our complex structured systems. We have a solid understanding of rules-based logic as well as fundamental narrative generation with high quantity. Automated Content Writing with Phrasetech is the perfect solution for companies looking to scale up their content and enhance their marketing intelligence.