Crowdworks Recognized in 2022 Gartner® Hype Cycle™
Referenced as Sample Vendor for Data Labeling and Annotation in 2022 Gartner Hype Cycle report
[July 8, 2022] Crowdworks, a leading and reliable provider of a crowd-sourcing based, AI trainingdata & solutions platform, today announced it has been named as a SampleVendor in the 2022 Gartner Hype Cycle for Data Science and Machine Learning,2022.[1]
Gartner’s Hype Cycle depicts a common pattern that occurs when an innovation emerges. An innovation often progresses through a period of overenthusiasm, to a period of disillusionment, to an eventual understanding of the innovation’s relevance and role in a market or domain.[2]
The report identifies the business impacts of data labeling and annotation, and emphasizes the increased need for better training data in removing the bottleneck in developing AI solutions.
Crowdworks, under its global brand ‘Workstage’, has been actively mounting its global business. By utilizing the 360 thousand crowd-workers’ behavioral data and its adaptive platform optimized for processing high-quality data, Workstage is providing professional AI data labeling and annotation services to corporations from a wide range of industries.
With its growth potential widely recognized in the global market, Crowdworks has been seeking advances in Data labeling technology by introducing crowd-sourcing to the ndustry for the first time, since its establishment in April 2017.
Also, its numerous awards from Korean government/public institutions and registration of a US patent for ‘Technology for AI target training image sampling’ validates the company’s outstanding data quality and technological competitiveness.
“We believe this recognition from Gartner authenticates Crowdworks’ data quality and its innovative business model in the global market,” says Minwoo Park, CEO of Crowdworks. “We will take this opportunity to expand our business and become active on a global scale.”
[1] Gartner, “HypeCycle for Data Science and Machine Learning, 2022”, Farhan Choudhary, PeterKrensky, June 29, 2022.
[2] Gartner, “Understanding Gartner’s Hype Cycles”, Philip Dawson, Alexander Linden,et al., July 21, 2021.
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