The hype surrounding Artificial Intelligence isn’t unfounded. Artificial Intelligence has the potential to alter the way industries function on a day to day basic. It comes with the promise that with more data available, it will get easier for businesses to manufacture and operate. The potential of AI will truly be realized when we talk not just of smart homes but of smart manufacturing units where machines produce optimally with minimal glitches and breakdowns. Though the scenario may look far-fetched for many, it is quite possible with AI and machine learning.

Though the potential of AI is quite limitless, right now there isn’t an ecosystem which can promote its seamless functioning. There is a lot of groundwork that needs to be done right now only then will we be able to live in the future where AI rules. So what’s missing right now? At present there isn’t enough data to power AI and without data there isn’t much that can be done with this advanced technology.

The need of the hour is to feed the machines with data – appropriate and necessary ones. This job can be done by any data annotation specialist who sifts through lot of data to feed machines with what’s required and to keep some data which are irrelevant out of the way. 

What Does the Job Entail?
The premise of a data labeling is simple – to label data according to significance and feed them to machines. Once the machines are fed with data, they will be able to start collecting, correlating, processing and utilizing them according to the requirements. Unless the first wheels are turned, the process will not function smoothly. Thus the job of a data annotation specialist is to feed data to the machines. 

It must be understood that here we are talking of some time-consuming and tedious task. Also, there are different types of annotations that happens which are purely based on the form for which the task is to be completed. So, there is – 

  • Video Annotation
  • Text Annotation
  • Semantic Categorization
  • Content Creation

Unless the business goals are properly defined, it will become difficult for any data labeling specialist to work. 

Job of A Data Labeling Company
Data annotation specialists are highly experienced people who must have thorough understanding of the job purview. Nowadays many multi-national companies hire these specialists to ease their data processing work. However that’s not a very popular approach. The alternative in which the job is given to a third-party vendor has more takers. Basically here there is a data labeling company who offers annotation services to clients. Their job is to work on multiple fields and specialties according to the need of their clients. Such companies have scores of annotation specialists who have the knowledge to work on multiple disciplines and forms. 

If you are seeking data labeling for your business, the best thing to do would be to hire the services of a data annotation company. Once you hand-over the work you can assuredly know that the data processing and annotation work will be completed on time.    

Summary – In this write-up we talk about the gap that exists in operating AI and ML and how data annotation specialist can fill the gap. The article also talks about the role of a data labeling company.