_ "Just requested access to the Wordsmith Beta from @AInsights. #wordsmith #NLG http://automatedinsights.com" – My post on Twitter, Google+, Facebook
_ My notion is to generate exegetical commentaries from existing or regenerated Bible databases. Text and/or hyperlinks from/to different versions, dictionaries, commentaries, grammars, might be generated with variations for diverse target audiences. (If I do not get access to Wordsmith-beta, I would appreciate feedback from any friend that does.)
Introducing
Wordsmith: Using Data to Reinvent How We Write
automatedinsights.com
[/] Written by marketing [/] wordsmith-beta-blog470 [/] Posted on
October 19, 2015 at 12:17 pm. [/] Robbie Allen, CEO and Founder of
Automated Insights — [/] http://j.mp/0Wordsmith
or
http://automatedinsights.com/blog/introducing-wordsmith-using-data-to-reinvent-how-we-write/
With
the rapid rate of innovation in virtually all areas of our lives,
it’s surprising that the way we write remains largely unchanged.
Sure, we use the keyboard instead of the quill. But our actual
writing process–crafting a single narrative one word at time–would
be familiar to Shakespeare, Shelley, and Salinger. Until now.
Today
we launch the public beta of our Wordsmith platform. Wordsmith is a
new way to write and develop content using data. The process is part
writing text and part writing logic, with data as the glue that ties
everything together. Instead of writing a single story at a time, you
create a story structure that can generate an unlimited number of
articles. Wordsmith updates the writing process for the era of Big
Data–and helps customers boost the return on their data investment.
It’s
an exciting time at Automated Insights because we are sharing parts
of our platform that have automated earnings reports for The
Associated Press, fantasy football recaps for Yahoo!, sales summaries
for Allstate, and many others.
It’s
Time for a New Way to Write
When
it comes to writing, most innovations have centered on the
distribution of content, not the creation of content. The printing
press let publishers produce text in large volumes. The web and email
enabled low cost digital content delivery. Finally, social platforms
have created a “pull” environment where content finds interested
users. Content distribution has come a long way.
In
terms of the actual writing process, there has been far less
innovation. Typewriters and word processors have been evolving slowly
since the late 1800s, but even the most popular word processing
software, Microsoft Word, hasn’t really changed the writing process
in its 30-year history. Newer platforms like Medium have made it cool
to get out of the way instead of giving writers new (or even
traditional) capabilities.
On
top of that, the availability of data should be a great asset in the
writing process, but it largely goes unused. Big Data’s impact on
writing has been hampered by the lack of integration with
easy-to-use, widely accessible writing tools. As a result, many
data-driven insights are hidden in complex charts and graphs that
require additional – and manual – narrative explanations.
Why
We Need to Create More Content
Automated
Insights has been working on a platform to automate writing since
2007. In computer science terms, this is referred to as natural
language generation (NLG). We call our platform Wordsmith. It can
take a story structure and a dataset and generate numerous pieces of
content that sound like a person wrote each one of them individually.
For the last couple of years, Wordsmith has generated more content
than any other company in the world. In fact, we create more content
in a week than all the large media companies combined create in a
whole year. Last year alone, Wordsmith generated over one billion
pieces of content with a team of just 50 employees.
Some
may argue that there is already too much content floating around. I
agree. The problem is that it’s generic, untargeted content. At Ai,
we focus on personalized content. Instead of writing one story and
hoping a million people read it, Wordsmith can create a million
stories targeted at each individual user and their preferences. It’s
a story that is totally unique to each user because it is powered by
their data. You can see a variety of examples on our website. We
apply the same technique for large enterprises by creating
individualized reports that go to everyone in a sales force, as we’ve
done for Allstate, or monthly bill statements that go to every
customer, as we’ve done for Comcast.
Early
on it became apparent that instead of having only Ai employees
configure Wordsmith, we needed to get it in the hands of more users.
If a 50-person company can create more than a billion stories, what
if anyone who wants to communicate insights around their data had
access to the technology? I resisted opening up the platform earlier
because it’s very difficult to create a new data-driven writing
interface that is intuitive for business users. But if it was easy,
someone else would already be doing it.
Thinking
About Writing in a New Way
Writing
fueled by data presents myriad opportunities for creative expression
and driving business outcomes. There are a few prerequisites. You
have to think about structuring your content to embrace variables.
You have to understand your data at a basic level. Over time we will
be releasing new tools and features that make data-driven writing
easier and more automated. What you see today with Wordsmith is just
the beginning.
When
we first went to market with this technology in 2010, our goal was to
get people to understand the possibilities. When I’m asked, “What
are the limits of Wordsmith?” I often respond, “Your
imagination.” With Wordsmith, the cost of content is an order of
magnitude less than any other option. Meanwhile, the scale of
creation is orders of magnitude greater. You have to use your
imagination to explore what’s possible.
Be
Part of the Beta
The
Wordsmith Beta is now officially open. I invite you to request access
today and start revolutionizing the way you write and benefit from
content. We’re excited to see how you put Wordsmith to use.
I2C
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