The term ModelOps encompasses how analytical models are cycled from data science teams to IT production teams during a regular cadence of deployment and updates— in that sense, sharing similarities with DevOps. Yet in the race to realize value from AI models, it’s can be winning ingredient that only a few companies are using to their advantage. Dive into this insightful article to learn more about what the ModelOps methodology has to offer your organization
ModelOps: How to operationalize the model life cycle
