Challenges in Data Labeling

Data scientists face challenges in managing the manual aspects of data labeling projects, such as vetting samples and quality scoring. Automation tools and project management platforms can help streamline workflows and free up time for higher priority tasks. Xelex focuses on making complex workflows easier by moving away from spreadsheets and manual processes towards scalable solutions.