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…