AI Business Value Drift: When Model Quality Holds but the ROI Quietly Disappears
Explores how AI ROI can decline in production despite stable model quality, advocating for a living AI value contract to track business case validity.
Explores how AI ROI can decline in production despite stable model quality, advocating for a living AI value contract to track business case validity.
A PhD student reflects on the complexities of ML engineering, distinguishing between Task MLEs and Platform MLEs, and shares practical lessons from production systems.
Analyzes post-deployment ML issues and categorizes them to advocate for better monitoring tools, using Zillow's case as an example.