Shaping Best Practices for Monitoring ML Models
In this episode, host Peter Wang is joined by Elena Samuylova, CEO and Co-Founder of Evidently AI. Peter and Elena discuss how Evidently AI’s open-source tooling is helping users monitor machine learning (ML) models, and why that’s important.
Elena has found that Evidently AI’s open-source approach is attractive to data scientists and ML engineers who are ramping up model maintenance, retraining, and monitoring efforts.
Peter and Elena also touch on:
- On-premises versus cloud-based deployment
- ML model monitoring best practices
- The value of pipeline testing
- And more!
You can find a human-verified transcript of this episode here.
If you enjoyed today’s show, please leave a 5-star review. For more information, visit anaconda.com/podcast.