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Box has vast amounts of content in its stores, and as it begins to apply artificial intelligence and machine learning to make it easier to surface, it also wants to expose each piece of content and how it relates to other content and users. To help achieve that, the company announced the Box Graph today at BoxWorks.
“The Box Graph enables customers to predictively recommend content that might be relevant to you. It would be impossible to do this without a graph,” Jeetu Patel, who holds the dual titles of Chief Product Officer and Chief Strategy Officer at Box, told TechCrunch.
Idea - Graph - Facebook - Individual - Graph
The idea of a graph was first popularized by Facebook, which discussed an individual’s social graph, the connections they had between friends on the social network. In a similar fashion the Box Graph is building a network of connections, but instead of just friends, it’s between pieces of content and employees and how they relate to each other.
When the system begins to understand these connections, it can use the content in any number of interesting ways including surfacing content that might be interesting to you...
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