Daniel Mitchell

Chief Executive Officer Hivemind

Dan Mitchell is CEO of Hivemind, which provides software to help companies create high quality datasets from messy and unstructured sources. Hivemind spun out of Winton Group in the Summer of 2018.

Before Hivemind, Dan was Head of Research Data at Winton and sat on Winton’s Research Management Board. He led a team of data scientists in the exploration and collection of data for Winton’s Research division. 

Dan holds a first-class undergraduate degree in modern history from the University of Oxford, a MStd in historical research, and a DPhil in history, specialising in historical UK voting patterns.

Conference Day One: 16 September 2019

Monday, September 16th, 2019

3:10 PM Data labelling and data collection from messy or unstructured sources

This session will discuss how to create high quality labelled data for machine learning and how to build bespoke, multi-dimensional datasets from messy or unstructured source material. Issues covered will include the advantages of building such datasets, the merits of a man/machine approach, how to pick a workforce, and a brief review of a couple of case studies.

Conference Day Two: 17 September 2019

Tuesday, September 17th, 2019

9:15 AM Panel: Man vs. machine

The perceived wisdom is that as human and machine brains have quite different strengths and abilities, the combination of both capabilities will offer the most effective solutions.  But for how long will this remain the case?  Does the vast increase in data to be modeled; advanced algorithms and new deep learning techniques mean that a machine-only advantage will be reached in the near future? 

Check out the incredible speaker line-up to see who will be joining Daniel.

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