Survey: 96% of Enterprises Encounter Training Data Quality and Labeling Challenges in Machine Learning Projects
Summary
However, nearly eight out of 10 enterprise organizations currently engaged in AI and machine learning (ML) report that projects have stalled, and 96% of these companies have run into problems with data quality, data labeling required to train AI, and building model confidence, according to information released today from Alegion. The new report, “Artificial Intelligence and Machine Learning Projects Obstructed by Data Issues” was conducted by Dimensional Research. Alegion is an Austin-based technology company that provides the most powerful and flexible annotation platform for training data in market. It uses integrated ML and has unique capabilities like conditional logic, iterative tasks, multi-stage and workflows, that are essential for high quality at scale. The entire process is managed by our highly experienced and consultative team that configures and executes the platform to meet your business needs.