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

A tartalmat a Sean Tibor and Kelly Paredes, Sean Tibor, and Kelly Paredes biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Sean Tibor and Kelly Paredes, Sean Tibor, and Kelly Paredes vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

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

10d ago 54:50

Megosztás

MP3•Epizód kép

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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