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The future of knowledge
Manage episode 438199441 series 3558719
Innehåll tillhandahållet av Amas Tenumah & Bob Furniss, Amas Tenumah, and Bob Furniss. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Amas Tenumah & Bob Furniss, Amas Tenumah, and Bob Furniss eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.
In this episode, Amas and Bob dive into the ongoing struggle with knowledge management in contact centers—a problem that's been around since the Clinton administration. Despite years of technological advancements, knowledge management remains a significant challenge, with many customer service representatives still struggling to find the right information quickly.
Bob shares his optimism about the potential of generative AI to revolutionize knowledge management by aggregating and analyzing data from various sources. However, both Amas and Bob acknowledge that while AI could improve information retrieval, the real challenge lies in the human and process side of things. The discussion explores the conflict between relying on AI to provide information and trusting human agents to apply judgment in delivering that information to customers.
They emphasize that AI should be used to augment knowledge workers, not replace them, particularly in the tedious task of keeping content up-to-date. The episode wraps up with the idea that AI could help reduce the noise in the information agents must sift through, making their jobs easier and more effective.
Listeners are encouraged to understand AI's capabilities and integrate it into their contact center operations, focusing on how it can help manage and improve knowledge over time.
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