2 cents from the CEO of a content marketing company:
One thing that humans will continue to be better at than machines for a very long time is creating interesting stories for other humans. There is no machine that has nearly written a Faulkner novel, or even written up anything more complex than a baseball game (which is itself impressive, though the template is not much more complex than a complicated madlib). When you read machine written stuff, it stinks of the machine that made it. The wriber software is little different at this stage, as evidenced by some of the mangled "ideas" it's generated for others on this thread.
Software and data absolutely have a place in any good editorial strategy, but presuming an algorithm can furnish ideas that will perform better than humans armed with data-driven insights is a mistake in my opinion.
Our content strategists are armed with boatloads of social data, they identify trending topics, top performing articles from competitors etc., and all of that informs the human decisions they make as the editors of their brand publications about what gets written.
At the end of the day, though, I'm going to leave the decision making (and a good part of the ideation) to the talented humans that make up the L&T Co. team.
I'm more compelled by software that helps my team come to data-driven insights themselves than by software that purports to "do the hard part" for them.
This is really good feedback, landtco. I want to make sure that we don't give off that impression. One of our customers is a digital agency that creates content for companies.
The ideas provided are meant to prompt thinking. Sometimes they provide the actual content, but the majority of the time, they help you research your topic (we include a URL in the paid version and allow you take snippets out of sources really easy). This is especially useful if your writers are not all subject matter experts for niche content.
We also do a lot more than provide ideas. For instance, if you're writing for a lot of companies, they may all have style guidelines that you have to follow. Instead of having to remember all the rules, you can customize Wriber to check for them.
Well said landtco. If you are looking for data analysis tools to help you with your business in this regard my company can help to solve this problem.
http://theenginuity.com/analytics
One thing that humans will continue to be better at than machines for a very long time is creating interesting stories for other humans. There is no machine that has nearly written a Faulkner novel, or even written up anything more complex than a baseball game (which is itself impressive, though the template is not much more complex than a complicated madlib). When you read machine written stuff, it stinks of the machine that made it. The wriber software is little different at this stage, as evidenced by some of the mangled "ideas" it's generated for others on this thread.
Software and data absolutely have a place in any good editorial strategy, but presuming an algorithm can furnish ideas that will perform better than humans armed with data-driven insights is a mistake in my opinion.
Our content strategists are armed with boatloads of social data, they identify trending topics, top performing articles from competitors etc., and all of that informs the human decisions they make as the editors of their brand publications about what gets written.
At the end of the day, though, I'm going to leave the decision making (and a good part of the ideation) to the talented humans that make up the L&T Co. team.
I'm more compelled by software that helps my team come to data-driven insights themselves than by software that purports to "do the hard part" for them.