The Ai Revolution Is Boosting Data Annotation In India

By Author: FiveS Digital
Total Articles: 5
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Annotation of data is how a particular data is labelled for the machine to comprehend the data input and provide a precise output.
Technology is dominating every sector around the globe. AI has a role in the most fundamental aspects of our lives. The most straightforward concepts like how long it takes to reach a location or what song will be next on the list can be identified using AI or Machine Learning algorithms.

These algorithms can become a friend of man because of their capabilities to recognize data. The process of annotation involves how a particular piece of information is classified for the machine to comprehend the data inputted and provide an exact output.

It is no secret that AI is based on data. Since AI is involved in almost every industry, companies require accurate methods of data annotation when they heavily rely on models to produce the results. Imagine the scenario of an ML model with poor data collection. It is not surprising that the capacity to predict the model in question isn't reliable.

Types of annotation ...
... for data:
Annotation techniques for data are various, based on the ML application. The semantic annotations train machines to recognize a specific text. Be it long paragraphs or short sentences. The properly labelled text will train models to give practical solutions. For example, input such as "I would like to talk to X" can be recognized by the ML model, and they'll identify them as a request or approval.

Concepts like an individual's name, a business, or a person's name are also labelled within a text to ensure that the model can categorize them later. Similar to image annotations, where images are labelled. Annotations to images typically involve imagined boxes drawn on an image. The model can recognize the annotations to be distinct from other objects.

Video annotations are where bounding boxes are created on video on a frame-by-frame basis. Video annotation tools are utilized to detect movement. Firms' techniques for data annotation will differ from each other to their requirements.

Annotation of data in India:
In some situations, AI was deemed a necessity to open the economy, businesses, and the government recognized the importance of data-based assets and the integration of systems. There was a sudden necessity to address the AI-driven decision-making process at the time. The pandemic outbreak prompted the MSPs to modify their methods of operation to ensure the continuity of the business.
According to the Data Annotation Report published by NASSCOM in February 2021, the market for data annotations served by India in FY20 was valued at USD 250 million, with 60 percent of revenue coming from US customers. According to the report, various business models include managed services that contribute 65%-75 per cent to the total market.

One of the biggest problems that continue to plague the Indian market is concerns about data privacy, the cultural context, and the demand for non-English languages when labelling.

Data annotation scope in India:
The growth rate of AI in various fields like education, healthcare, automobiles, telecom, e-commerce, and more. The development of annotation on data is inevitable. In the coming years, the nation will experience an exponential rise in companies' demand across the country, regardless of their field. The NASSCOM report claims that the market for data annotation could reach as high as USD 7 billion by 2030.

Fives Digital is an impact sourcing business process management company based out of India, with global clientele. With over 1400 team members across our 7 delivery centers in India, we are operational in tier 2/3 towns across India.