LEVERAGE THE POWER OF A REAL TEAM
Traditionally, if you wanted to build an NLP platform, you were faced with a quandary. Do you gradually build an in-house team, providing intensive training and support to each new hire? Or do you outsource the data labeling work and risk substandard performance, missed deadlines, and a potentially weaker end product?
If you’re serious about quality and results, it traditionally made sense to build an in-house team, despite the prohibitive cost and obvious limitations. Hiring in-house staff is expensive and you generally can’t scale as quickly as you would like to, but outsourcing to a BPO firm or contracting freelancers results in uneven quality and unpredictable results. In fact, unforeseen delays and missed targets may ultimately prove even more costly.
Part of the problem with traditional crowdsourcing or outsourced models is that you have very little assurance of the quality of each individual worker and you can’t be sure they have been trained to meet the specific demands of the task at hand.
But that’s only part of the problem. Outsourcing to even very skilled and capable workers invariably leads to bottlenecks and confusion when each person works in their own silo, without effective coordination across the team.
By contrast, a managed outsourced team ensures that there is clear coordination, open lines of communication, and goal-based oversight. Indeed, a managed outsourced workforce should operate as if they were part of your own team, following the strategic guidance you provide and adapting to new business goals.
DATA LABELING AT SCALE: A NEW WAY TO DO MORE FOR LESS
To the end-user, NLP platforms often just seem like magic. Indeed, by now, some of us are so blase about a computer seeming to literally understand us that we get annoyed when the system doesn’t quite get our tone right.
But anyone who has actually built an NLP model appreciates just how much time, effort and data goes into getting a functioning product to market.
At Werkit, we wanted to develop solutions that help businesses overcome the challenge of scale vs quality.
Our managed teams of specialized talent are carefully selected – both on the basis of their individual skills and their capacities as a team – to help manage your company’s goals. Each member of our team is highly and relevantly qualified, with degrees in computer science, accounting and other technical fields.
From data labeling to other machine learning tasks like semantic segmentation, our solution ensures you have the right team for the job, at scale and when you need it. That means consistent, high-quality work with all the flexibility and affordability of an outsourced solution.
If you’re serious about developing world-beating NLP projects, get in touch with Werkit to match the right talent to your strategic objectives.