『AIs Wide Open Podcast』のカバーアート

AIs Wide Open Podcast

AIs Wide Open Podcast

著者: Rohan Sampath
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Rohan Sampath, CEO of Copilot (https://copilotup.com/), interviews AI experts on the latest in AI and CEOs / C-Suite Leaders on the impact of AI on their businesses.Rohan Sampath 2023-present マネジメント・リーダーシップ リーダーシップ 経済学
エピソード
  • S1 E1 Dustin Deno (CRO, Affinity) - Scaling Revenue by Using AI for Synthesizing Customer Conversations
    27 分
  • S1 E2 Anil Punyapu (SVP Sales, Cvent) - The Sales Team of the Future: The Intersection of AI and Human Expertise
    2023/05/08
    Anil and Rohan discuss how AI will transform the way sales professionals and managers work. They talk about how sales professionals must show agility, adaptability, and openness to the possibilities of AI dramatically improving productivity in their roles. They also talk about how AI will affect the attributes and characteristics that managers seek when hiring sales professionals and how AI automates more mundane tasks - freeing up managers to focus on training and coaching the sales reps.
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    31 分
  • S1 E3 Eugene Godsoe (Senior Director of Sales, Navan) & Shayne Longpre (Research Ph.D. Candidate, MIT) - When an AI PhD and a Sales Leader Get on a Podcast Together
    2023/05/15
    Rohan, Eugene, and Shayne talk about what are the technical innovations driving the explosion in Large Language Models recently. Shayne talks about how much uncertainty there is about which applications LLMs will be good at - uncertainty that might take a decade to be resolved. Eugene brings his perspective on what a successful seller will look like in a world where synthesis, Mail outreach, summarization, and information retrieval are taken care of by LLMs. As they continue the conversation - they talk about trusting AI models, and whether we’ll ever move from AI-assisted human selling to human-supervised AI selling. Rohan, for one, believes that AI will never be able to completely replace the human seller because human beings want to talk to another human when they are making $10K purchases or larger. Lots of interesting stuff for folks interested in a plain English introduction to LLMs and future applications they might enable.
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    38 分
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