Innovation in AI is accelerating at a steep rate, and the tools and processes used to support such AI innovation are no exception. Long the domain of a human workforce, data annotation is seeing advances, such as using AI and automation to pre-label data and conduct quality assurance, that seemingly promise to eliminate the need for human-powered labeling. This panel will explore the future of humans-in-the-loop data annotation and what role your labeling workforce will play in the years to come.
