In our latest webinar, the Encord team explored the rapidly evolving world of data-centric AI—with a special focus on world models and hands-on insights from real annotation workflows.` The team discussed how world models allow AI to simulate and plan in virtual representations of reality, enabling it to reason about cause, effect, and context. They also highlighted the importance of feedback loops and human-in-the-loop workflows for accelerating iteration cycles and improving training data quality. Additionally, Encord's tools such as consensus workflows and ontology management help automate complex annotation tasks while maintaining control over data quality. The session emphasized tracking relevant metrics beyond accuracy scores to better evaluate data workflows and model performance. Finally, collaboration between product, ops, and data science teams is crucial for achieving aligned objectives and driving customer-driven innovation.