
Why Data & AI Needs to Embrace Interoperability with Dael Williamson
Catalog & Cocktails: The Honest, No-BS Data Podcast
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Understanding Data Interoperability
This chapter explores the vital concept of interoperability in data and AI, emphasizing its importance for meaningful data accessibility. It draws parallels between traffic rules and data systems, advocating for standardized guidelines to facilitate smoother data navigation. The discussion highlights the role of community support, open standards, and the distinction between data and metadata in enhancing overall understanding and functionality.
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