Lisa Mateo
speaker
1,758 appearances
189 recordings
6 series
first heard Jul 2025
last heard 3d ago
Lisa Mateo’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 188 in all, peaking in Feb 2026 with 84.
Appearances
One of our partners told us that having Cortex Code
was like Snowflake supplying them with bulldozers where previously they had shovels.
Trudeau, one of the core pillars for you to grow is to go out and find new customers.
And I wondered if you just give some detail on what's happening in the world of technology in AI that would bring a customer to Snowflake for the first time.
What is it that they need that they didn't before?
Typically, they come to us because they need better insight into data.
It is sitting somewhere.
It's hard for them to get these insights.
But increasingly, what we are able to do is have our sales team build an honest-to-goodness customized demo of something like a Snowflake Intelligence on the kind of data that a customer is going to have.
It is that easy access that really is the big winner for our customers.
And smart customers are also quickly realizing that having data in Snowflake means that they can think about how this data is going to be used in ways that they had not done before.
Sanofi, which is an existing customer, is now using Snowflake Intelligence, our AI products, to redefine a lot of workflows, replacing a lot of existing software.
These are the use cases that drive these customers to come to Snowflake and adopt it.
Sridhar, last night, Jensen Wang, who you know very well, talked about profitable tokens.
The idea that the output of an AI model is worth paying for, customers do pay, and they pay at a price that is greater than the compute used to generate it.
Are you able to give me any evidence through Snowflake's lens that you actually see that in the real world?
Well, what I can assure you is getting projects done has been changed dramatically.
Something like setting up a pipeline used to be a multi-week task.
We can get that done in a small number of hours.
teams come to me just last weekend with speed ups going from four weeks for a software engineering project that they did down to 40 minutes.
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