Video: How to Make the Jump from Batch to Real-Time Machine Learning
If you’re a data scientist or ML engineer, the conversation about making that jump to real-time ML might come up sooner than you expect. Join Claypot AI CEO Chip Huyen and Tecton CTO Kevin Stumpf as they discuss how companies can make the jump from batch to real-time ML as easy as possible.
Challenges of Feature Monitoring for Real-Time Machine Learning
To be successful with machine learning, you need to do more than just monitor your models at prediction time. You also need to monitor your features and prevent a “garbage in, garbage out” situation. However, it’s extremely hard to detect …