Summary
Data holds AI back. However, the issue often has less to do with the data itself and more to do with the engineering of the data for an AI experience at the edge of business. AI is a complex web of messages, requests, policies, and controls for behavioral and contextual intelligence. The emergence of data networks tackles this by exploiting service mesh, publish/subscribe messaging (pub/sub), streaming technology, analytical data virtualization, and software-defined infrastructure. This report explains how enterprises can use data mesh to attain tech giant status.
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