IBM Zones in on DevOps for AI - DevOps.com

IBM this week revealed it has added a drift detection capability to the Watson OpenScale platform to govern artificial intelligence (AI) models that will become a foundational piece of IBM's approach to defining best DevOps practices for building AI-infused applications. Rohan Vaidyanathan, program director for IBM Watson OpenScale, said one of the biggest AI issues organizations face today is determining when to update or replace an AI model. Announced at the IBM Data and AI Forum event, the drift detection software added to Watson OpenScale provides a continuous monitoring capability that detects how far an AI model has moved from its original parameters, Vaidyanathan said. Drift in AI models usually occurs over time, especially as use cases change in ways that are unexpected. Once that drift is detected, organizations eventually want to either retrain that AI model or replace it with a new one.