Oct 1, 5:00 – 7:00 PM (UTC)
Snowflake was born as the Data Warehouse in the cloud which meant we mostly just did SQL. Well, times have moved on, Snowflake now does a whole lot more!
Artifical Intelligence (AI) is getting all the attention but good old Machine Learning (ML) has been used for a lot longer to analyse data and make predictions. In this session you'll see how you can use new Snowflake features such as the ML Modelling API, Model Registry, Python API, Datasets and ML Lineage to build end-to-end ML pipelines, all in a single, secure platform.
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 60 people, 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 email invite from “Envoy” which you can use to virtually 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.
Tuesday, October 1, 2024
5:00 PM – 7:00 PM (UTC)
5:00 PM | Arrivals, setup, networking |
5:30 PM | Hands On Lab |
6:45 PM | Wrap Up |
Snowflake
Senior Sales Engineer
Astrato Analytics
Product Manager
Aimpoint
Senior Data Engineer
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