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CEO, doctor, educator, speaker and writer. I combine a comprehensive understanding of the state of AI in the veterinary industry with 15 years in practice, to drive responsible and responsive adoption of AI into vet med.

A common topic at #SAVY2024 today was the importance of interoperability and the need for common language when it comes to labels. One thought that came up was the idea of a LLM AI plug-in that could review text entered into any PIMS, and synthesize the important data in a report in an extractable form, ensuring common labeling across multiple platforms and without requiring vets to check off millions of boxes. Pretty cool that this came up in my feed just now. Could Briefer (YC S23) technology be used as the sharing platform, coupled with a LLM record mining and labeling program? Come on AI and programming gurus, who wants this one?

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Briefer (YC S23) helps data teams create analyses, visualizations, and data apps and share their work with others — including non-technical people. It works like Jupyter Notebooks, but it runs in the cloud and is as pretty and intuitive as Notion. The founders, Lucas da Costa and Lucas Vieira, know how much of a struggle it can be to share messy notebooks, build unmanageable ad-hoc scripts, wrangle with SQL in limited BI tools, or go through the hassle of setting up the infrastructure for a data app. That's why they're building Briefer: to help teams generate and share insights in an easy, powerful, and more manageable way. Learn more at https://lnkd.in/g2WYc6z5.

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