Data Liquidity in the Age of Inference

This article tackles one of the most important issues in data today. Most large datasets currently in existence are owned by large platforms who hoard that data as a core competitive advantage:

If a company has invested in building valuable data sets that help differentiate its product or service, its motivation is to preserve that moat by protecting that data against competition.

Google, Facebook, Amazon. Tesla with AutoPilot. Etc. 

The author introduces three different structures in which data can be shared broadly: open data, data brokerages, and data cooperatives. Each provides a different take on the problem of getting more data into more hands.

Before the internet, almost all software code was closed source, where today open source software powers everything around us. Thinking as the Data-ists of Yuval Harari's Homo Deusinformation wants to be free—will we begin to witness a rise of collaborative data repositories?

This is an important topic, and one that doesn't get enough attention. This post goes deeper than anything I've seen.


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