TRACK

AI Ops & Technology Management

As AI systems scale from experimental projects to production environments, the operational complexity of managing models, infrastructure, and workflows intensifies dramatically. This track brings together engineering and operations leaders to share proven strategies for MLOps and AIOps implementation, including model deployment pipelines, monitoring and observability frameworks, and efficient resource management.