Interview
summary
Argues that conversation becomes the primary interface to information and that conversational analytics are the toolchain to get there: Dashbot collects conversation logs, measures failures and user signals, and feeds those signals into machine learning models so bots iterate faster. Claims a feedback loop from real user dialogue lets models learn context and improve responses, making information accessible to billions. Describes using Dashbot’s analytics to quantify bot performance and drive concrete product fixes.
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chapters (5)
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