Brodie Ford
๐ค SpeakerAppearances Over Time
Podcast Appearances
Or if it's going off track, we can stop it, restart it.
So that's equally important, maybe even more important than the first part.
Ali, it's great to have you back on Bloomberg Tech.
Yeah, I mean, that's super important, right?
Because this space is moving so fast.
And, you know, just, I think, six months ago, we were talking about things that were auto-completing code.
To now, everybody has agents that can write the code.
So the question is, how do we actually make these, the code that has been written into production, make sure that they're powering up everything inside of the enterprise, and making sure that we're monitoring it, making sure that we can actually start doing more interesting things with it.
Can we build AI models automatically for the business that can predict the business?
So, you know...
to complete that puzzle and have all the different puzzle pieces, you have to expand.
So it is about that and that's why Quotient and also Genie Code have been added to this.
Yeah, I mean, those are great partners and customers that we work with, and we use, actually, Cursor, and we use Cloud Code internally at Databricks as well.
You do, yeah.
We do.
But those things, they focus on how can we help software engineers?
What GenieCode really can do is it brings it to the knowledge worker, the people that create your dashboards inside of an organization, and they make sure that your revenue numbers are correct, or the people that make sure that the data that's coming in every day into the organization is correct, nothing breaks, you know, there's not an outage, you don't have like a blue screen, the dashboard is out and you can't see it, or the people that are building machine learning models that can predict your prices or your costs or, you know, doing risk assessment with machine learning models.
It automates that portion, so it's sort of very complementary to cloud code and, you
Yeah, so that's a great point.
So GenieCode is really for data scientists, for data engineers.