ModelOps Explained: A Starter’s Guide to Deploying and Managing AI and Analytical Models

What’s the difference between ModelOps and MLOps? Where does AI come in? AI Business examined the disconnect. Their findings reveal that closing the gap between insights within data and how those insights are used to make business decisions is critical to an organization’s success. Interviews with analysts at IDC and Gartner, along with survey results from SAS and Omdia, provide guidance on how to overcome the barriers to operationalizing analytics. The road to success starts with establishing the right processes to optimize ML models to support AI initiatives. ModelOps is the bridge to getting started.