Podcast: All Things Data with Oscar Wood

Posted by Steven Aberle on October 29, 2018 at 3:57 PM

By popular demand I’m sitting down with Oscar Wood, CEO of NNData, to talk about many different things, including hidden data workforces, democratizing AI across a business, how the world of ETL is changing… we also get into leadership philosophy, when it's ok to be wrong, and second chances. Buckle up. This is a good one!

PODCAST HIGHLIGHTS:

Oscar walks me through his thought process on ideating NNCompass, where he saw the gaps, and who specifically we’re trying to enable

We've talked before about this assumption that there’s a “hidden data workforce”, a group of people in any given organization, whether they’re business analysts, marketing professionals, low-level all the way to c-suite… technology for this group of people is quickly being democratized… so we talk here about the hidden data workforce, and what they need to validate their mental models.

I ask Oscar, is the end goal to democratize AI and those insights across an organization…? “Machine Learning for the Masses”? Or maybe automating some of the difficult data management workflow tasks associated with assembling data for AI and ML?

We dive deeper into what it takes to assemble data for AI and ML, who’s job is that, what needs to happen, how do we use software to make it a team effort? Project controllers, business analysts, data scientists, do all these people need to work together?

There’s been some complacency in the world of data management and ETL in the last few years, everything really being tied to a database offering - - almost always very expensive… I ask him how NNData is trying to disrupt that model by looking at the “data” landscape from a different angle?

 

 

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Topics: Machine Learning, Data Management, NNCompass

PureAI article covers low-code AI/ML & NNCompass

Posted by Steven Aberle on September 27, 2018 at 9:01 AM

Author John Waters talks about how NNData and NNCompass can bridge the gap between a shortage of data scientists and organizations that are looking to accelerate their journey towards being an AI-driven enterprise.

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Topics: Machine Learning, NNCompass

NNDATA Named as a Finalist for the Moxie Awards

Posted by David Simon on July 29, 2018 at 8:29 PM

Last week the company found out that it had been nominated and selected for the 2018 Moxie Awards. "Simplicity drives Productivity" was the message being discussed around the table this past week at NNData Headquarters as the Washington, DC committee interviewed the leadership about our NNCompass software.

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Topics: Machine Learning, NNCompass, Awards

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

Introducing NNCompass

Posted by Steven Aberle on July 9, 2018 at 8:25 AM

Check out this short video where we introduce some of the main features of NNCompass!

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Topics: Introducing NNCompass, NNCompass

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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