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How AI Is Transforming Internal Enterprise Search
In this episode, Lucas and Luna explore how AI-powered internal search is revolutionizing the way employees find information. They discuss a McKinsey report that knowledge workers spend 2.5 hours per day searching—30% of the workday—and how companies like Atlassian are using vector embeddings and semantic search to cut that time by half. They cover the shift from keyword-based to intent-based search, the role of large language models in understanding context, and real-world results from a global retailer that saw a 40% drop in support tickets after implementing AI search. The hosts also touch…
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