Veterans Day, WW I, and Technology

Posted by David Simon on November 12, 2018 at 2:57 PM

This Veterans Day I wanted to specifically look at some technology and innovation that happened during WW I and draw several parallels since it's been 100 years since the signing of the treaty that ended that war.

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Topics: NNCompass Government, Veterans Day, NNCompass Enterprise, Data Preparation, Technology

What exactly can NNCompass do for you?

Posted by Steven Aberle on July 16, 2018 at 9:21 AM

Every now and then I have a chance to talk to someone about NNCompass. Nine times out of 10 it goes exceedingly well! That tenth time though, well, let’s just say I need to work on either my mastery of the vernacular, or… I need to do a better job of conveying its features up front. Usually at the end of the meeting, where I’ve just poured my heart and soul into describing NNCompass, which I’ll admit can be frantic and all over the map sometimes, they’ll hit me with this question… “so what exactly does NNCompass do”? At which point, I realize, I have gone way too far into the weeds… So, here’s my attempt at a mea culpa blog post, where I try and abstract a quick description of what NNCompass is, and what its core features are.

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Topics: Introducing NNCompass, NNCompass, NNCompass Government, NNCompass Enterprise, Data Management

Everyone Should Be Able to Create Smart Data.

You can do amazing things with data now. This is where everyone involved in bringing NNCompass to life talks about how your business can start using things like machine learning to create "Smart Data".

If any of this sound familiar to you, you're in the right spot...

  • I really want to take advantage of things like machine learning, and see what it can do for my business, but I don’t know where to start

  • I have a data problem. Too much, too different, coming in too quickly. I don’t have 4M USD to hire teams of people to overcome my data problems.

  • I wish I could ingest and get a handle on all of my data, not just beautifully structured CSV and XLS files, but all my emails, MS Word docs, Adobe PDFs.

  • I don’t have the resources or time to first hire data engineers, then data scientists just so I can start using machine learning algorithms to answer some of my most difficult business problem sets.

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