Last week I had the pleasure of attending the Snowflake Summit in San Francisco. As you might imagine, AI played a huge part in the conference. During the product feature keynote speech, Snowflake told us the answer to every question is CoCo, or their form of AI that uses Large Language Models or LLMs.
AI is much more encompassing than just LLMs but that is what everyone thinks of when we talk about AI right now. The downside to LLMs is that all of the demos look exactly the same. Snowflake kept trying to show us new features in their product, would bring up a chat prompt and type in some sort of question. It would think about it for a bit and then spit out a text answer. Sure you didn't need to code or type SQL queries to the database but there really wasn't any difference from one demo to the next.
Last year I attended only 3 days of the conference as I had to get home and couldn't stay for the final day. I should have taken a page out of last year's playbook and only stuck around for 3 days instead of the 4 I did this year. By the last day, I lost all excitement and couldn't wait to get home. In fact, I left the conference at noon and tried to catch an earlier flight back to Salt Lake.
Ultimately I came away from the conference feeling like I wasted some of my time. When all you have to do is pull up a chat prompt and enter your question, there is no need to learn the intricacies of the product. Don't know the syntax to join data from two separate data sources, just let the AI figure it out for you. The conference can be reduced from days to hours.
When I left the conference, Snowflake asked me to fill out a survey. They provided dates for the event next year and asked if I would attend in San Francisco. Naturally I politely declined as it just doesn't interest me any more. Now if they held the conference in Hawaii, I'd be there but doubt I would spend any time at the actual Summit. When it came time to put together a trip report, I could always ask AI to do it for me.
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