Ever since Artificial Intelligence and Machine Learning have entered different spheres of human life, things have become more efficient and productive. Both the technologies are swiftly integrating into some of the most vital fields of human life while achieving the unachieved.
The idea of robotics in healthcare is not new to the world. However, only a minuscule of its potential has been realised yet. Now with artificial intelligence (AI) getting increasingly sophisticated at doing what humans do, we are seeing revolutionary transformations in the healthcare services. Apart from opening the new avenues in healthcare and diagnosis, robotics and AI have made the healthcare services more efficient, personalised, affordable and accessible.
New-age technologies like machine learning and artificial intelligence have positively impacted nearly all the industries, business, and market segments. Experiencing the transformations these technologies have brought, businesses have considerably increased their investments in these technologies.
Almost every organisation engaged in the process of developing machine learning algorithms dabbles with the idea of setting up an in-house team for data annotation requirements. Companies feel that assigning the seemingly easy task of data annotation to their employees will save them of both time and money.