5 Strategic Steps for Choosing Your Data Labeling Tool

A growing number of businesses are seeking to apply artificial intelligence (AI) to innovate customer experience and launch disruptive products. If your company is among them, you will need to label massive amounts of text, images, and/or videos to create production-grade training data for your machine learning (ML) models. That means you'll need smart machines and skilled humans in the loop. "Firms achieve the most significant performance improvements when humans and machines work together," wrote Paul Daugherty and Jim Wilson in Harvard Business Review, about their research at Accenture involving 1,500 companies. "Through such collaborative intelligence, humans and AI actively enhance each other's complementary strengths: the leadership, teamwork, creativity, and social skills of the former, and the speed, scalability, and quantitative capabilities of the latter."