About this event

Join us to find out how you can use Machine Learning (ML) and Large Language Model (LLM) powered functions that you can access simply by using a bit of SQL.

Learn how you can use these by building an AI powered tool in Streamlit to help review and respond to customer reviews. Get hands on or just sit back, relax, drink a beer, eat some food and enjoy the show!


Logistics:

This will be a hands on session so feel free to bring your laptop so you can have a go at building something yourselves. Make sure you have a full charge on your laptops and have your personal hotspots ready as a backup!

Spaces will be limited to 50 people as a result, and we will rely on registrations on the Meetup and Snowflake Community pages to gauge numbers. Please only register if you know you will be able to attend, it will help us order the correct amount of food and mean you don’t take someone’s place who may have been able to attend.

First come, first served on the day, we will try our best of course but if you arrive late we may not be able to fit you in.

Please try to check-in to the building BEFORE the event. You will receive an invite from “Envoy” which you can use to check-in. If you don’t do this, you’ll have to type all your details into the Envoy app at reception on the ground floor, which can slow things down significantly. If you check-in using the invite then you’ll have your pass on your phone and you can scan it when you arrive.

If you haven’t already done so, join the WhatsApp group (we will send an email prior to the event) and we’ll keep you all updated on any updates or last minute changes.


When

When

Tuesday, July 2, 2024
5:00 PM – 7:00 PM UTC

Agenda

Arrivals, setup, networking
Key Feature Overview (Peter Aubrey, Snowflake Sales Engineer)
Building in Snowflake (Peter Aubrey, Snowflake Sales Engineer)
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Speaker

  • Peter Aubrey

    Snowflake

    Senior Sales Engineer

Organizers

  • Peter Aubrey

  • Andrew Mason

    PMM Intern at Snowflake

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