For the uninitiated, typewriters were devices that were used to create ‘formal’ documents as opposed to informal or handwritten ones. In a world where it continues to play an important role, just what can we expect by way of data entry speed?Īnd is that all we need to look for? Or are there other parameters that also assume importance, such as accuracy of the work? Speed at the time of typewritersĬomputer keyboards have evolved from typewriter keyboards, or keys. It offers us perhaps one of the purest and simplest measures in the form of speed at which data is entered. Since data entry is an input that produces an output, it needs to be measured and managed to ensure that value is being created and not destroyed through that process. While they are expected to play a key role in the world of the future, the very process of creating the model requires a huge amount of manual work like data annotation and labelling that needs to be done primarily manually. Take Artificial Intelligence (AI) and Machine Learning (ML) for example. While converting legacy manual data to digital formats may be one reason why manual data entry continues, we are also creating new technologies with their own need for manual data entry. But we know better, don’t we?ĭata entry continues to occupy a prominent place in the support functions that power the digital world. With technology, computing devices, data, bandwidth, all around us, it might seem that we are living in a sort of futuristic utopia where human beings have to just show up and be served by machines that communicate with each other.
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