Answered raw tape
D 5 · C 5 · P 5 · Cm 5 5.00
Q The teams that close the customers are off the deal when it closes?
A They keep it for a year, year and a half. We will continue to evolve that, but the set of people that get new accounts Are completely distinct from the set of people that are growing existing accounts. Honestly, it's a different skill. The person that is managing an account that's spending fifty million dollars a year, that person's a manager. They have 20 people. This is a big complicated beast where you have to learn. Often these folks, our folks know the architecture of their customer often better than the customer because they talk to everybody within the company. They know what the pain points are. They make business proposals for, hey, we can do this project over here. We can make your regulatory reporting a whole lot simpler, or we can do this other thing. And so they are on that cadence of how do you create value with the customer? Then we have a different team that's focused on, you know, us winning five, 600 new logos every week.
AI assessment note: “They keep it for a year, year and a half.”
Answered raw tape
D 5 · C 5 · P 4 · Cm 4 4.60
Q at sales. They were so his top reps, his top reps. So one meta topic for snowflake is talking to your AI, right? Which you used to need to date. Maybe you still need a data scientist and a data engineer and the whole team, but tell us like. Versions of that story and where will, where's snowflake going in 20, 26 in this age of AI, where's it going?
A Yeah. I mean, first of all, Snowflay is the AI data cloud, meaning we basically want to be a cloud computing platform centered on data, whatever you want to do with it. Obviously there's simple stuff like analysis. You bring some data in. You want to make it easier for people to bring that data in. We're going to release a pile of new connectors. But then analytics is what we were always known for. Infinitely scalable analytics. Difficult. Everything from AML to predicting next best action, or as you pointed out, churn detection. But for us, AI is a big unlock as far as getting value from data goes. If we can make any business user be able to ask questions off of data quickly, that's a big plus. You just showed me your chatbot. On your website. It's pretty amazing. If you folks haven't tried it, you should. But now imagine being able to do that on every dataset that your company has. That's sort of, that's our thing. And the pieces to do that are already there. And the next steps then are going to be, okay, how do you stitch these data flows together? If you're a salesperson and you want to make a new pitch for a use case to your customer, you want to know perhaps like what are open use cases that other customers like this have deployed that this person should. You also want to make sure you know the latest about what's going on. How do you bring that into a single experience? …
AI assessment note: “That's kind of where Snowflake is headed, which is all of your enterprise data”
