Steven Aberle

Steven Aberle
Chief Product Officer at NNData

Recent Posts

NNData Achieves AWS Advanced Technology Partner Status

Posted by Steven Aberle on March 26, 2019 at 3:54 PM
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NNData is proud to announce our Advanced/Premier Technology Partner Status with Amazon Web Services (AWS). Achieving APN Advanced/Premier Status is a recognition of the hard work our team pours into the development of NNCompass, and confidence by AWS in our approach to data management for the cloud era. Our ability to orchestrate AWS AI & Machine Learning against data either in the cloud, in hybrid environments or against secured workloads in GovCloud and C2S is a completely new take on data management, combining ETL, data ingest, data preparation, data integration and data streaming components to handle the most difficult enterprise data workflows. Customers can now apply AI/ML against "onprem" or cloud data stores to get answers to their most difficult use cases and problem sets. We look forward to continued work with the AWS teams, and together reaching our goal of bringing machine learning to the masses.

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Podcast: Cyber Security & Data Integration with MG Jennifer Napper (USA Ret.)

Posted by Steven Aberle on March 13, 2019 at 4:21 PM
Podcast-Jeniffer-Napper

We had a chance to sit down with MG Jennifer Napper (USA, Ret.), now VP of Cyber at Perspecta, to talk about a wide range of topics including cyber security and data management strategies. We also had the opportunity to discuss our partnership on a large scale data integration effort. NNData teamed with Perspecta to deliver a data integration and migration strategy through our cloud-based data management software NNCompass on AWS GovCloud operating on Elastic Cloud Compute (EC2). 

Utilizing AWS GovCloud and EC2 for Large Scale Data Integration:

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Topics: Data Management, AWS GovCloud, Data Integration, AWS EC2

Podcast: Enterprise AI Acceleration with Ntoh Etta

Posted by Steven Aberle on February 4, 2019 at 2:47 PM
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Ntoh Etta, CEO of Horizon Global Partners, and I chat about AI in the enterprise, getting past buzz words, harnessing AI, and who is winning the AI arms race.

PODCAST HIGHLIGHTS:

Ntoh Etta, CEO of horizon global partners, is in the chair this week. I've wanted to sit down and record a podcast with Ntoh for a long time now... Every now and then he says something that sounds profound, ... it makes me listen more intently.

Ntoh is at the forefront of the AI and machine learning groundswell, helping enterprises harness those advancements and apply it against use cases. But I realized I didn't know very much about Ntoh's history, how he arrived at horizon global... he's got an interesting story. 

Horizon Global partners is all about accelerating growth, I ask him what that means, and is there a methodology to growth acceleration, and I ask him how market fit plays into that. 

 

Ntoh spends a lot of time shepherding larger enterprises through their efforts to become AI driven. He talk here about what that truly means, and separating the hyperbole of buzz words from actual ROI.

When it comes to kicking off AI initiatives, what typically needs to happen first? Do you hire a bunch of data scientists or applied AI engineers, take them off other projects?

I always have to ask my favorite question about how close we are to the AI-induced robot apocalypse, which Ntoh answers in a very learned way, but I also as him his perspective on the great AI race happening now between the US and China.

 

 

 

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Topics: NNCompass, Data Management, Machine Learning, Orchestration

Podcast: All Things Data with Oscar Wood

Posted by Steven Aberle on October 29, 2018 at 3:57 PM
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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: NNCompass, Data Management, Machine Learning

Podcast: Text AI with Jerry Gay

Posted by Steven Aberle on October 15, 2018 at 10:13 AM
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Cool episode this week where Jerry Gay, NNData CTO, and I talk about about machine learning for unstructured data management, natural language processing (NLP), Gate’s Annie, Stanford NLP, why it’s difficult for companies to incorporate unstructured data into their pipeline or data management workflows, and why industry has a tough time responding to this gap.

PODCAST HIGHLIGHTS:

Traditional, unsupervised natural language processing has been a discipline for the last 15 years, we talk about what it can do for you, and how much has it improved….

Jerry and I built a system together a few years ago called Big Data Ecosystem while we worked together at a company called Data Tactics... we included a version of Gate's Annie and Stanford NLP into the ecosystem, with mixed results, which we discuss here…

NNCompass takes a different approach to unstructured data management, inserting the human into the enrichment and extraction process, I talk to him about why we did that, and why it’s unique…

Today was a good day to have this conversation about unstructured data, since both Jerry and I had met with a company called ExpertSystem USA for most of the morning, having a deep technical dive into the textual AI software they engineered called Cogito…. 

With the release of Google’s Auto ML and Amazon Rekognition, I ask Jerry if we’re approaching a sea change in the way businesses view unstructured data, or if these tools are really focused on image AI problem sets…

 

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Topics: Machine Learning, TextAI, Unstructured Data

Podcast: Applied AI with Joe Clark

Posted by Steven Aberle on October 4, 2018 at 4:28 PM
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Talking to Joe Clark on the podcast, who is the principle scientist and owner of HSB Intel, a firm focusing on applied AI and machine learning, a variety of customers from NASA to the Defense Department… we talk about a range of AI-related subjects, but first I ask him to tell us a little bit about himself and how got involved in applied AI.

PODCAST HIGHLIGHTS:

Joe recently authored a paper on self-assembling neural networks that is getting national attention, he dives further into that topic.

We also spent some time together in Chicago a couple of weeks ago, where we talked about the basics of AI, what is it, what’s the different between AI, machine learning, deep learning, neural networks… I wanted to include that conversation in this podcast for everyone here to get a baseline of exactly how the field of AI is structured.

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PureAI article covers low-code AI/ML & NNCompass

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

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: NNCompass, Machine Learning

University of Virginia Data Science Institute

Posted by Steven Aberle on August 28, 2018 at 12:12 AM
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Join the Data Science Institute for the inaugural fall 2018 Distinguished Lecture Series talk with Oscar Wood, Founder & CEO of NNData.

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NNData Launches Online SaaS "Smart Data" Software

Posted by Steven Aberle on August 21, 2018 at 9:32 AM
NNData's PRNewsire/CISION Press Release

FAIRFAX, Va., Aug. 21, 2018 /PRNewswire/ -- NNData today announced the launch of its online SaaS "Smart Data" software, as part of its flagship product NNCompass. It delivers easy to use ways to manage data along with use case-focused machine learning algorithms for anyone to use without having any training as a data scientist or programming background. 

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Podcast #1 is Online!

Posted by Steven Aberle on August 16, 2018 at 6:08 PM
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Welcome to our Podcast, where everyone here at NNData gets to sound off on the latest things happening in the AI and machine learning space, talk about new ways to manage data. And or, talk about all the geeky things we love to hate... or is it hate to love.

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Topics: Data Management, Machine Learning, AI, Unified Data Format

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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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