Pillar: AI Operationalization (video)

Summary

Summary

The AI Operationalization pillar seeks to control, monitor, and govern the process and deployment of machine learning models and AI applications.

Historically, many enterprises have struggled to realize actual business value from AI projects. Moving from a prototype on a data scientist’s laptop to a fully operationalized model cleared by IT is often a formidable challenge. Moreover, after a model is successfully deployed into production, monitoring and governing models in production is a new challenge.

This lesson introduces some of the most important tools for deploying and managing models with DSS.