Structuring Quality Data at Scale
Data-science tech developer Hivemind designed a quantitative experiment to determine which type of workforce completed a series of increasingly complex tasks to deliver the highest-quality structured datasets. Which workforce performed better?
Was it CloudFactory’s managed workforce or a top crowdsourced workforce?
This webinar reveals the study’s results and dives into the:
- Strategic implications of using different types of workforces for structuring data
- Positive impact of paying workers by the hour as opposed to the task
- Pros and cons of an anonymous crowdsourced team versus a managed team of data workers
WATCH THE WEBINAR Tell us about yourself
Philip Tester Moderator
Philip is Director of Business Development at CloudFactory, where he creates partnerships to help solve data-production problems for AI innovators.
Daniel is CEO of Hivemind, a software company that helps its clients build, clean, and enrich datasets from messy or unstructured information.
Mark Roulston Presenter
Mark is Co-founder and Senior Data Scientist for Hivemind.