target audience: TECH BUYER Publication date: Nov 2023 - Document type: IDC MarketScape - Doc Document number: # US50010523
IDC MarketScape: Worldwide Data Labeling Software 2023 Vendor Assessment
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Abstract
This IDC study evaluates vendors that offer data labeling software technologies and capabilities. New AI/ML applications using unstructured data for conversational AI, speech recognition, sentiment analysis, object detection in autonomous driving and robotics applications, medical imaging, facial recognition, and more will fuel the machine learning life-cycle market expansion. Unstructured data is a resource for enterprises to mine, extract actionable insights, and improve business outcomes, but it must be enriched with high-quality labels to unlock its value within AI/ML algorithms.
"Data labeling can be expensive, slow, and labor intensive, but it's necessary to derive value from AI/ML models using unstructured data, such as text, images, videos, and audio data," said Kathy Lange, research director for AI Software at IDC. "New AI-assisted software capabilities can dramatically reduce the effort traditionally required by human labelers. New human-in-the-loop solutions provide dramatically reduced time and costs for data labeling while delivering similar or improved quality and accuracy of results."