![]() What is data annotation?Ĭomputers can't process visual information the way human brains do: A computer needs to be told what it's interpreting and provided context in order to make decisions. ![]() It's the human-led task of labeling content such as text, audio, images and video so it can be recognized by machine learning models and used to make predictions.ĭata annotation is both a critical and impressive feat when you consider the current rate of data creation. By 2025, an estimated 463 exabytes of data will be created globally on a daily basis, according to The Visual Capitalist - and that research was done before the COVID-19 pandemic accelerated the role of data in daily interactions. Now, the global data annotation tools market is projected to grow nearly 30% annually over the next six years, according to GM Insights, especially in the automotive, retail and healthcare sectors. Why does it matter?ĭata is the backbone of the customer experience. How well you know your clients directly impacts the quality of their experiences. As brands gather more and more insight on their customers, AI can help make the data collected actionable. ![]() According to Gartner, by 2022, 70% of customer interactions are expected to filter through technologies like machine learning (ML) applications, chatbots and mobile messaging. “AI interactions will enhance text, sentiment, voice, interaction and even traditional survey analysis," says Gartner vice-president Don Scheibenreif on the analyst firm's blog.
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