TRAINING DATA AT SCALE: HOW TO ACCELERATE MACHINE LEARNING AND AI DEVELOPMENT

BUILDING A FOUNDATION FOR SUCCESS

Understandably, tech innovators are often tempted to think in terms of the big picture, devising bold, creative, tech-driven solutions to complex problems. But it’s no less significant to consider the logistics. Machine learning takes skill and ingenuity, but it also depends on a quality pipeline of data, processed by skilled workers.

Fast and accurate data processing is only possible at scale if you have an effective, extensive process to manage that data. And the thing is, you need to act at scale in order to ensure the building blocks are in place that allows you to keep innovating. That means a large dataset of high-quality training data, effectively managed according to your specifications.


After all, without quality data, your AI and machine learning models are always going to be limited, no matter how sophisticated they are. And the more complex and ambitious your models become, the larger the quantity of data you will require, without compromising on quality.


SKILLED TALENT AT SCALE

Securing enough training data for complex tasks can be a challenge. You need enough skilled people, who can perform tasks like data labeling quickly, efficiently, and accurately. You also want to be able to scale up rapidly whenever you need to.

Outsourcing the work to skilled, remote talent is a potentially powerful way to meet the logistical and organizational demands of meeting your training data requirements.

But how can you be sure that the quality of the work will be of a consistently high standard? After all, managing data is not just a numbers game; the quality of the data will ultimately determine the quality of the end product.

It’s a challenge we’re hyper-focused on at Werkit. We’re building a network of highly skilled and motivated talent, who provide text annotation, data training, and image labeling to clients who need consistent results at scale.


And while our talents get the training and support they need to excel at their work, they are already highly qualified workers. They have degrees in computer science, accounting, and other disciplines with direct application to the field.

MATCHING TALENT TO THE TASK – AND VICE VERSA


Werkit’s solution is so successful because we source talent with the skills and knowledge to meet each client’s particular needs. But no two projects are identical. That’s why we provide the training, equipment, and support outsourced workers need to meet evolving data management challenges.


FASTER AND MORE EFFICIENT

Werkit has a simple mission. As a provider of skilled crowdfunded talent, and dedicated managed outsourced teams, we have created a solution to help businesses scale up and achieve their goals more quickly. This is without compromising on quality or consistency.


The benefits extend far beyond managing any single project. When you outsource effectively, your in-house team can focus on developing their core skills and realizing their most ambitious projects. Instead of getting bogged down in tedious administrative functions, your staff can work more strategically, with a focus on long-term growth.


In other words, effective, quality outsourcing gives you the freedom to refine and develop more ambitious projects, at scale, and take them to market more quickly.


Want to learn more? Get in touch with Werkit for a chat about an outsourced data solution tailored to your business.

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