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Fin AI podcast

Podcast door Fin

Engels

Technologie en Wetenschap

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Over Fin AI podcast

Candid and technical conversations from the Fin AI group. This is the group that works on the AI of Fin, the leading agent for customer service, resolving more than 1M conversations a week. These conversations are candid, technical, and raw, capturing our excitement about AI technology and our struggle to make it do useful things.www.fin.aiwww.fin.ai/research/

Alle afleveringen

3 afleveringen

aflevering Guardrails, not guard dogs: Shipping reliable AI actions artwork

Guardrails, not guard dogs: Shipping reliable AI actions

Intercom’s Chief AI Officer Fergal Reid sits down with Principal Machine Learning Engineer Pratik Bothra to explore what it really takes to make AI actions reliable and safe. They dive into the pitfalls of moving from demo to deployment, why deterministic checks trump LLM watchdogs, and why most resolutions still come from strong informational answers. It’s a candid look at the challenges and trade-offs in building agentic workflows that work in production. Watch on YouTube: https://youtu.be/bcghIm-1sAI?si=mm5QA_gafBP29XMXFollow the people https://www.linkedin.com/in/fergalreid/ https://www.linkedin.com/in/pratik-bothra-bba03074/ Insights and blogs from the AI Group building Fin at Intercom: https://fin.ai/research/ https://www.linkedin.com/showcase/fin/ https://x.com/Fin_ai https://www.fin.ai See Privacy Policy at https://art19.com/privacy [https://art19.com/privacy] and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info [https://art19.com/privacy#do-not-sell-my-info].

18 sep 2025 - 1 h 8 min
aflevering Closing the loop: From snippet monster to maintainable insights artwork

Closing the loop: From snippet monster to maintainable insights

Intercom’s Chief AI Officer Fergal Reid sits down with Staff ML Scientist Fedor Parfenov to unpack how the Fin team turned failed conversations into better answers - safely. They trace the journey from Copilot to the new Insights product, tackling content gaps, the “snippet monster,” accumulation and consolidation, and why causal inference beat classic A/B tests for measuring real impact. Watch this episode on YouTube: https://youtu.be/Qagm7Pb2aRk?si=2bIhZ0uAd0XEBw8v Follow the people https://www.linkedin.com/in/fergalreid/ https://www.linkedin.com/in/fedor-parfenov/ https://fin.ai/research/ Insights and blogs from the AI Group building Fin at Intercom See Privacy Policy at https://art19.com/privacy [https://art19.com/privacy] and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info [https://art19.com/privacy#do-not-sell-my-info].

9 sep 2025 - 48 min
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