Cómo la personalización permite la calidad de los datos de entrenamiento a escala

Training data quality has an enormous impact on the performance of an AI algorithm or machine learning model. Large and ambitious projects also need enormous amounts of data to achieve model performance. Is it better for a given project to opt for a fully hands-on data annotation process, resulting in high quality training data but […]

Definir la estrategia de datos adecuada

Designing a data strategy that works for your AI project can make all the difference — both by producing significantly higher quality training data, and by saving time and reducing costs. Learn step-by-step how to design and implement a customized data strategy for your organization using methods developed over 30+ years of experience in the […]

ML-Assisted Data Annotation

As AI applications increase in number and scope, the need for mass amounts of high-quality training data is rising. This poses a number of challenges, from scalability to flexibility to speed. Collaboration between humans and machines is the solution. By integrating machine learning models and automation tools into the annotation process and balancing them with […]