---
title: A Blog About Innovation Management, Data, and Creativity from Exaptive | Josh Southerland
description: Josh earned his M.S. in Computer Science from the University of Oklahoma in 2012. His education and research experience was focused on the overlap of machine learning and robots. Josh has co-authored many scientific papers in the areas of robotics and brain machine interfaces. He is Exaptive's Machine Learning Lead and helps solve data science challenges for the company and its clients.
---
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# Blog
## Josh Southerland
Josh earned his M.S. in Computer Science from the University of Oklahoma in 2012. His education and research experience was focused on the overlap of machine learning and robots. Josh has co-authored many scientific papers in the areas of robotics and brain machine interfaces. He is Exaptive's Machine Learning Lead and helps solve data science challenges for the company and its clients.
Find me on:
### Recent Posts
[](https://exaptive.com/blog/how-machine-learning-helps-humans-search-millions-of-documents-instantly)
## [Machine Learning Helps Humans Perform Text Analysis](https://exaptive.com/blog/how-machine-learning-helps-humans-search-millions-of-documents-instantly)
Posted by [Josh Southerland](https://exaptive.com/blog/author/josh-southerland) on Apr 19, 2018 1:09:13 PM
- [Tweet](https://twitter.com/share)
The rise of Big Data created the need for data applications to be able to consume data residing in disparate databases, of wildly differing schema. The traditional approach to performing analytics on this sort of data has been to warehouse it; to move all the data into one place under a common schema so it can be analyzed.
[Read More »](https://exaptive.com/blog/how-machine-learning-helps-humans-search-millions-of-documents-instantly)
[1](https://exaptive.com/blog/author/josh-southerland/page/1)
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