Save Time Labeling Critical Pieces of Data
Artificial intelligence (AI) programs can accomplish a huge number of tasks for their human controllers in very little time. However, it is still necessary for human labor to exist behind the wheel as well. It is estimated that approximately 80% of AI project time is spent on data labeling.
AI programs spin up a huge amount of data, but that data doesn’t necessarily serve much of a purpose until it is properly labeled. As such, human beings typically spend a lot of time perfecting the data labeling process for their AI models.
The AI model that one uses is only as good as the data that goes into it. Therefore, you certainly want to be sure that your model is crafted to perfection with accurately labeled data. However, you probably don’t want to dedicate such large chunks of your team’s time working on this one type of project. Instead, you may consider using an outsourcing company to process this data.
How Does Data Labeling Improve AI Outcomes?
Many of the AI products that have already been released are incredibly impressive. These programs can do amazing things, from recommending new recipes to passing the bar exam. However, none of that is possible unless the programs are fed a significant amount of data. Not only that, but the data must be structured to be useful at all. Therefore, the data labeling process is essential to the creation of an AI model that produces reliable and useful information.
Human eyes and minds are still necessary to label important pieces of data. Without a human reviewer, the data pumped into an AI model won’t necessarily mean much at all. Artificial intelligence is getting more powerful by the day, but it is all based on what it can learn from the human inputs that are placed into the programs.
The process of data labeling is a lengthy one that takes a significant amount of resources to accomplish. Instead of relying entirely on your in-house team to take care of all of this, you might want to consider using an outsourced provider to assist you in the data labeling process. Allow that provider to take care of the heavy lifting involved with this work so your team can remain focused on other essential tasks.
Outsourced Teams for Data Labeling
Virtually any process that requires a lot of time and labor can be outsourced when necessary. This holds true for the data labeling process as well. Tasq.ai explains the process like this:
Data labeling outsourcing is the practice of assigning the duty of labeling datasets to outside service providers, enabling businesses to shorten the labeling process, lower expenses, and improve the precision of their machine learning models.
Outsourcing this work makes a lot of sense when you consider the fact that doing so means that your team can get back to focusing on the other tasks that they must accomplish. It is to your advantage to allow your team to get back to work on the other types of projects that generate profits within your company.
Leave the busy work to an outsourced provider that has the bandwidth to handle this kind of tedious work.
Considerations Before Selecting a Provider
Pump the brakes slightly before you select a provider for your data labeling services. You are probably excited to get started on getting this type of work accomplished, and that is a great thing. However, you should also take a moment to stop and consider the various factors that play a role in selecting a provider that will best serve your needs.
Consider the following before selecting any specific outsourcing partner:
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Data Security
First and foremost, you need to think about the security of the data that you hand over to the outsourced provider that you select. This is because you simply cannot take any chances with the information that you have collected on customers leaking out to entities that should not have it. Speak with the providers that you are considering to see what kind of security programs and technologies they use to keep data safe. Don’t be afraid to grill them on this to get the answers that you require. One of the worst things that could happen to you is a data leak that causes your company significant embarrassment and potential legal liability.
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Turnaround Time
Business continues to move forward no matter what, and you do not want to get caught flat-footed. The turnaround time that your project takes is something that you must always consider. Some providers can provide faster service than others. You don’t want to sacrifice quality for speed, but you should still consider the speed that any provider can offer. The faster that they can label your data, the sooner you can plug that data into your AI algorithms.
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Pricing
The cost of your project is likely the first thing you consider when you think about which providers you might want to use. You may face certain budgetary restraints that make it necessary to select a provider that is reasonably priced. Even if your budget is more expansive than most, you still want to think about the best ways to save money on any project you are working on. Comparison shop different providers based on the cost of doing business with them as well as the other factors related to the services that they provide.
It should take you some time to review the different outsourced third-party providers of data labeling services. This is time well spent, as long as you end up with the outsourcing partner that you need for data labeling services.
Take all of this under advisement and look for the data labeling third-party provider that you need today. The work that such a provider can accomplish is extremely valuable, and the results that they can ultimately achieve will blow you away.
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