How To Choose The Best Data Labeling Company

Finding the best data labeling company to scale artificial intelligence and machine learning models has become critical for AI and ML companies. Companies that do not leverage AI and ML are at a significant competitive disadvantage. AI adoption to optimize the cost and efficiency of backend processes through automation is inevitable and essential for survival in this and coming decades.

AI models to give out precise results demand more volumes of relevant and contextual datasets. But adequate and accurate data labeling is not attained overnight as it’s a long-term process which can continue for weeks and months together.

If Gartner is to be believed, 80% of AI or ML projects never reach deployment, and those that do are only profitable about 60% of the time. All these are due to negligence towards selecting a capable and high performing data labeling company.

80% of AI project time is used on data labeling in response to the volume of data generated by businesses. It is nearly impossible for AI and ML companies to have readymade datasets to train their AI models, unless their internal systems are robust and agile.

Most companies, thus, rely on the best data labeling company, who are equipped with the infrastructure and facilities that can deliver accurately labeled training data.

Maybe this is the reason services provided by data labeling companies are continuously growing at 28% and will reach an estimated growth rate of $3.5 billion in revenue in 2026.

However, choosing the best data labeling company isn’t that simple. With a lot of subpar companies claiming to be the best at data labeling, AI and ML companies should be....

Read More over at Techrecur.com