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The rate at which organizations are developing AI solutions is growing exponentially. So is the need for high-quality training data. Gartner research has found that there’s an urgency of leveraging AI for business transformation, but 50% of IT leaders struggle to move their AI projects past proof of concept – one reason being a lack of data necessary to train AI solutions.
This paper discusses the challenges of data labeling, and how organizations need to pursue the best – rather than just the fastest – data-labeling service that takes into consideration quality, flexibility, scalability, and cost of data labeling.
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