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AI starts with data: Facing the challenges of data collection and annotation

Information is the lifeblood of artificial intelligence projects. Without sufficient quantities of high quality, accurately labeled data for model training, machine learning models will struggle to make the right predictions, no matter how well they are built.

In this eBook, created in partnership with data specialists at Lionbridge AI (now acquired by TELUS International), we look at the human networks that power most artificial intelligence projects.

We discuss the techniques employed in data collection and annotation, outline some of the potential pitfalls that can befall a project at this early stage and meet the experts to discuss topics like privacy and bias – including representatives of Bloomberg, Unit 9, and Omdia.

AI starts with data: Facing the challenges of data collection and annotation