Podcast: Text AI with Jerry Gay

Posted by Steven Aberle on October 15, 2018 at 10:13 AM
Steven Aberle

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…

 

 

podcast-image

Topics: Machine Learning, TextAI, Unstructured Data

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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