Bridging the gap between "Just AI" and "Useful AI" is challenging, yet leveraging valuable data is crucial in this transition. With increasing access to data, computer vision teams should prioritize the production of informative and reliable training data. One effective approach is by developing active learning pipelines. From data curation to annotation, a webinar provides tools for implementing active learning pipelines to enhance computer vision models, including a guide on data curation and a case study demonstrating a 67% improvement in per-class performance by one customer.