A VP’s check list for monitoring AI/ML projects
by Chandra Pendyala Enthusiastic engineers are cranking out quick AI/ML prototypes at great speed. This check list tries to help VPs shepherd this energy into valuable solutions for the business. Business Value Promise: Traditional project gating and prioritizing methods work here. The only upgrade needed for traditional methods is in the computation of life time costs […]
Build Differentiated Innovation- AI/ML
by Chandra Pendyala Mission critical AI-ML systems need interpretable, traceability, auditing, bias detection, security, compliance, governance, ownership and monitoring. Highly interpretable systems do not feel like they are automating learning and intelligence. Completely uninterpretable systems without proper effectiveness metrics will feel like random numbers generating black-boxes. Natural Language Processing, Image Processing, Recommendation Engines, Content Generating […]