Artificial intellect grapples with the written word
If you go to this page on my blog, you will receive an introductory post on the use of artificial intelligence to generate personalized content, marketing messages and emails. He hasn’t won any Pulitzers, but he’s pretty easy to understand.
The great thing about this post is that I didn’t write it.
Instead, it was created by Long Shot, an AI – powered software-as-a-service application that generates written content – including long form articles – entirely from a few keywords. Includes similar products Jasper, Cafcai, Copy blacksmith, Scribeand ContentBot.
Using robots to write basic articles and blog posts is a new thing. The Associated Press It has been doing since 2014. What’s new is that these powerful tools are increasingly available to ordinary people at unexpected purchase prices. For example, LongShot’s $ 29.90 monthly plan provides approximately 50,000 words of written copy or the equivalent of a 200 – page book.
The machines are capable of writing and reinforcing what we write. The free plugin from grammar now one of my most valuable writing tools. I am a mediocre proofreader, and Grammarly can see my shortcomings, usage errors, and grammatical errors accurately and unexpectedly. In addition, the paid version suggests ways to clarify, tighten, adjust and select underused words.
Marketing gambling
It should come as no surprise that marketers are among the most enthusiastic adopters of AI – generated content. Persado it has a platform that combines machine learning with feedback from a human test panel to help marketers determine the best way to compose a message for a specific audience.
“We try to understand how language affects behavior and what components of language motivate emotions and create action,” said Vipul Vyas, senior vice president of vertical strategy at Persado. “Instead of working from intuition what we think will work, our technology is about taking advantage of millions of experienced people.”
Persado’s algorithm breaks the copy down into formatting, emotional appeal, and call-to-action components. First, it uses a database of words and phrases to generate all possible permutations of the message. Then, based on what he has learned from previous campaigns, he reduces millions of options to 16 and then tests these in small group emails.
“Only a few words of change make a big difference,” says Vyas, claiming that messages generated by his company ‘s technology work better than those created by people 96% of the time.
Automate the pitch
Smart Relationships it is a subsidiary of a public relations firm that implements AI on the PR parking letter. Its technology, currently available on an early access basis, uses predictive analytics to monitor media outlets and “make smart assumptions about what journalists will cover in the future,” says Steve Marcinuk, co – founder and head operations. “If we see that a cybersecurity article has been written by a journalist frequently in the past, we can predict that they are likely to do so in the future.”
The technology customizes the subject line and introduction for the journalist, as “I know you have learning technologies covered by The Washington Post and I thought we could connect some areas of professional overlap.” The body of the message is written by someone.
Theoretically, the result should be purely positive for people on both sides of the exchange since the result is less irrelevant messages in the journalist’s inbox. And a more enticing introduction to the PR pro to use to capture the target’s attention (I hate to admit it, but flattery works).
One can also go through the same process, but the results are inconsistent, and people do not scale well. “If you search for‘ facial recognition ’, you will find a mixed bag of local community outlets and a sports journalist who wrote one article six months ago,” Marcinuk says. “That does not convey deep interest.”
No need for people? Not so fast.
This topic raises the question of whether these technologies will eliminate human writers. While I have a genuine interest in the issue, I doubt that it will happen any time soon.
All the technologies that I have discussed here are fundamentally helpful: they make people more productive and efficient as communications. LongShot, for example, has a number of features aimed at slowing down the thought process, such as resizing text and suggesting other headlines.
When machines are more likely to displace human writers while creating routine reports, memos, and summaries of lengthy content, I doubt many of us will miss tasks. They will also generate articles and reports on events that would otherwise have been disclosed, such as the 4,400 earnings stories and 5,000 NCAA basketball previews the AP publishes every year. That’s a positive thing for everyone.
Next, Read This:
Will AI Save Journalism – or Will It Kill It?
AI-Generated Content: Friend or Foe of Content Creators?
Why brands should use AI content generation
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Artificial intellect grapples with the written word
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