Engineering Reliable AI for Production Environments
Failed to add items
Sorry, we are unable to add the item because your shopping cart is already at capacity.
Add to basket failed.
Please try again later
Add to wishlist failed.
Please try again later
Remove from wishlist failed.
Please try again later
Adding to library failed
Please try again
Follow podcast failed
Unfollow podcast failed
Engineering Reliable AI for Production Environments
-
Narrated by:
-
By:
About this listen
explores how to engineer reliable AI systems for real-world production environments, where accuracy alone is not enough. It highlights challenges such as robustness, monitoring, data drift, scalability, security, and failure handling, along with best practices for deploying models that remain dependable under changing conditions. The focus is on bridging the gap between experimental prototypes and mission-critical systems that users and businesses can trust. 🏗️🤖
No reviews yet