AI-Labeling Crowdsourcing Platforms

Crypto Beat
The Startup
Published in
9 min readJul 26, 2020

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AI-labeling crowdsourcing platforms — a new digital business model

Artificial intelligence (AI) is widely used in today’s business such as for data analytics, natural language processing, or process automation. The inclusion of artificial intelligence bits and pieces into digital business models creates value by improving back-office efficiency and increasing customer experience. The emergence of artificial intelligence is based on decades of research for solving difficult computer science tasks and is now rapidly transforming business model innovation. Companies that are not considering artificial intelligence will be vulnerable to those companies that are equipped with artificial intelligence technology. While companies like Google, Amazon, and Tesla have already innovated their business models with artificial intelligence, medium and small caps have limited budgets for putting much effort into setting up such capabilities. One high-effort task in creating artificial intelligence services is the pre-processing of data and the training of machine learning models. To meet the speed of the market it most often is not enough to set up internal capabilities to perform the pre-processing. Google for example makes use of a very pragmatic solution — the task of data labeling and validation for their machine learning models are outsourced to all those who are Google users. Have you ever thought about the aim of Google Captcha? Sure, it is used to pretend bots from intruding…

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Crypto Beat
The Startup

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