Episode 151: AI In Practice: Learning From Law & Beyond With Pritesh Patel Teaching Python podcast

Sean Tibor and Kelly Paredes, Sean Tibor, and Kelly Paredes에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Sean Tibor and Kelly Paredes, Sean Tibor, and Kelly Paredes 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

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Episode 151: AI in Practice: Learning from Law & Beyond with Pritesh Patel

8d ago 54:50

MP3•에피소드 홈

In this episode, Sean and Kelly welcome Pritesh Patel, a computer scientist specializing in AI who brings over 20 years of experience from companies like Turner Broadcasting, Walmart, and GE to his current role at Fisher Phillips law firm. Pritesh shares fascinating insights about implementing AI in knowledge-based industries, from automating his parents' frozen yogurt shop to helping lawyers transform their workflows.

The conversation explores crucial concepts like the "Jobs to Be Done" framework, which emphasizes focusing on outcomes rather than getting stuck in existing processes. Pritesh explains how he approaches AI education through playfulness and intuition-building—whether that's getting Batman to sing "Twinkle, Twinkle Little Star" in ChatGPT or creating AI personalities that debate humans. The discussion touches on the importance of maintaining accountability while delegating responsibility to AI tools, the power of curiosity in adoption, and how reinforcement learning might shape the future of AI integration.

Key resources mentioned:

Strategyn Jobs to Be Done Framework - Tony Ulwick's innovation methodology
NotebookLM - Google's AI-powered research tool
Suno.ai - AI music generation platform
OpenAI's Real-time API for voice interactions

Special Guest: Pritesh Patel.

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