Just a little creepy or is it efficient?

Check this out;

https://finance.yahoo.com/news/thor-industries-posts-1q-profit-212138851.html

It’s just a financial report about some random company.

ELKHART, Ind. (AP) _ Thor Industries Inc. (THO) on Monday reported earnings of $38.9 million in its fiscal first quarter.

The Elkhart, Indiana-based company said it had profit of 73 cents per share.

The recreational vehicle maker posted revenue of $922 million in the period.

Thor Industries shares have increased almost 5 percent since the beginning of the year. In the final minutes of trading on Monday, shares hit $57.83, an increase of 7 percent in the last 12 months.

I have no idea who they are, I don’t hold stock in them, and I don’t own one of their ‘recreational vehicles’….. So why in the world am I blogging about it?

Because of this last sentence that came right at the end….

This story was generated by Automated Insights using data from Zacks Investment Research.

Yup. That’s right…. That report was written by a robot. An AI brain. A computer……

Whoa.

Not sure how I feel about that.

My feelings aside, its exactly what I have been talking about in this blog for a few weeks now.
Here in the companies own words is how it works (Uh, I just caught myself wondering if someone in the company wrote this, or the computer itself did).

From Big Data to Big Insights
Our patented Wordsmith technology is a natural language generation platform that helps companies leverage their big data in ways never before possible. Here’s how Wordsmith works…

  • 1 Retrieve Data
    Ingest data from customer (APIs, XML, CSVs, spreadsheets, etc.), public repositories and third–party data providers. We accept data in nearly any format.

  • 2 Analyze Data Set
    Create advanced metrics that classify interesting trends, records, deltas, and streaks, and put them into historical context.

  • 3 Identify Insights
    Wordsmith finds patterns and trends in an individual’s data, and puts them into context — benchmarking them against the aggregate population and making them actionable.

  • 4 Structure & Format

    Structure a narrative using natural language generation that tells the story around the most important insights. The output can be in any format: long-form narrative, short-form bullets, visualizations, tweets, headlines, etc.

  • 5 Publish

    With our Cloud-based infrastructure, we can publish content in REAL-TIME via API, JSON, XML, Twitter, Email, Web and Mobile. We can even publish directly to your CMS of choice!

  • You could not get any more exact / spot on to what I have been saying will happen with IoT, big data and AI.

    Soak up lots and lots of data. Put it in context, look for patterns and use some smart algorithms to sift through it.
    The last step is the real genius, present the data in a natural, readable form – a plain English report.

    I said it before, I will say it again. Whoa.

    It’s here. It’s real. It’s happening.

    Oh, and just so you know, Ben, thebaldgeek, wrote this blog entry, I have not yet outsourced it to a computer. Yet.