Behind the scenes of Klaviyo AI—with the people who built it
Annie McGreevy
6min read
Ecommerce industry
February 26, 2024
As new AI tools roll out nearly every day, it can be tempting to prioritize learning and implementing them as quickly as possible.
But how did they get built? Why did they get built? What’s the human need behind them?
If you wonder about what drives a certain tool’s creation, or the intricacies behind their development, Klaviyo’s Data Science Podcast is for you.
The episodes give you the breakdown on how the team here at Klaviyo:
- Sees research as creative
- Focuses on learning as a career-long habit
- Achieves a profound understanding of the data before they build—and keeps learning as they build
- Seeks feedback from multiple perspectives
“We do our best work by sharing knowledge,” says Mike Galli, senior data scientist at Klaviyo. “Everybody has a unique perspective, and each of those unique perspectives could be the one that opens up a brand-new door in terms of project planning.”