Data annotation also referred to as data labeling, is a process of incorporating vital information into the raw data. Initially, when the data is in an unstructured form, it is not possible for machines to comprehend. So, it is important to tag the data and make it all the more machine-friendly. Data annotation basically helps in setting up a machine learning model to make the machines understand better. The intent is to get accurate outcomes with the data available at hand.
There would have been several instances at the workplace where neither you nor your employees could find a solution to a certain problem, and this is normal when you are running a business. However, the question is, how do you tackle such situations? Do you employ more people or take assistance from a third-party? No matter the solution you choose, investment has to be made both in terms of money and time. This is one side of the story.
“How may I assist you?”
Or
“What are you looking for?
Does the right corner of almost every website that you open look like this? It’s your personal assistant speaking to you. Here we will talk about chatbots, the trending online interactions agents, and chatbot training data services.
Living in an age where the internet is no more a luxury but a necessity, we have been exposed to a deluge of online content. While this has opened new avenues for content creation, the onus for moderating this content lies in the hands of platform owners.
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.