Achieving a high level of accuracy in data labeling is vital. This concept can be understood if we think about a mural of Rubik’s Cubes®.
CloudFactory partner Scientia shares the AI opportunity and the importance of quality data for machine learning.
Melody Ayeli, who reviews AI projects for Toyota’s CIO, shared insights on common AI failure points in a session at AI Summit in San Francisco.
Azavea's mission is to create advanced geospatial technology and research for civic and social impact. They interviewed a handful of leading data labeling firms, and studiously ...
Cloud workforce solutions and integrations with leading data labeling platforms support higher quality training data for machine learning.