Encord is enhancing its platform with performance improvements and new features, including customizable workflows for annotation processes and a suite of in-app educational materials to simplify learning. A redesigned project interface now allows users to monitor annotation progress and performance metrics more effectively, while also supporting scalable data uploads and export capabilities. The platform's DICOM editor has been enhanced for faster and more powerful annotations, and a new ECG annotation tool is introduced to aid healthcare professionals in analyzing heart rhythms. Encord Active is now easier to integrate into active learning workflows, allowing seamless project management and metric customization. Additionally, the platform explores the role of large language models like GPT-4 in machine learning, affirming the continued importance of human ML engineers. The updates reflect Encord's commitment to improving user experience and supporting data-driven AI development.