FEATURE : ANALYTICS there are benefits to taking a ‘ humans-in-the-loop ’ approach . Humans have a clear grasp on context , nuances , and subtleties and can fill analytical gaps that AI cannot . A human-AI collaboration ensures that the data used for training AI models is not only vast but also accurate and relevant , leading to more effective and reliable AI systems .
In interpreting visual data , the need for context is even greater . AI algorithms can identify patterns and features within images or videos , but they often struggle to understand the broader context in which these visual elements exist . For instance , an emoji that accompanies a customer review of nachos at a Mexican restaurant that says : “ The nachos here are the bomb !”, may be inaccurately classified as negative . However , once the AI has been adequately trained by humans , the AI soon learns that the word ‘ bomb ’ may not always be negative in common parlance . Similarly , for a fashion company , analyzing images of fashion enthusiasts on social media can help predict future fashion trends and meet customer preferences quicker .
Lianne Dehaye , Senior Director , TDCX AI
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