AI is transforming healthcare; it arms practitioners to make better decisions & fewer errors. Here’s how image annotation in Medical AI makes it possible.

CloudFactory and V7 Labs annotated chest x-rays data sets and trained ML models to identify health issues for COVID-19 research.
![6 Key Features of Data Annotation Tools [Infographic]](https://www.cloudfactory.com/hs-fs/hubfs/img/data-annotation/6-key-features-data-annotation-tools-thumbnail.png?width=346&height=181&name=6-key-features-data-annotation-tools-thumbnail.png)
Keep these 6 important features of data annotation tools in mind to find the right fit for your AI and machine learning project.
-Nov-23-2020-09-33-02-03-PM.png?width=346&height=181&name=Image%20Resizing%20for%20Blog%20and%20Social%20(8)-Nov-23-2020-09-33-02-03-PM.png)
Even in uncertain times, you’re swimming in an ocean of data. How you are processing data that powers AI and use that data will determine the future of your business.
![Crowdsourced Workers vs. Managed Workers [Infographic]](https://www.cloudfactory.com/hs-fs/hubfs/04-blog-img/infographic-social-post-crowdsourced-vs-managed.png?width=346&height=181&name=infographic-social-post-crowdsourced-vs-managed.png)
Data scientists at Hivemind created 3 data labeling tasks and hired 2 teams to complete them. The differences in data accuracy, speed, and cost may surprise you.
![Why Using Data Scientists for Data Labeling is a Big Mistake [Infographic]](https://www.cloudfactory.com/hs-fs/hubfs/04-blog-img/cf-infographic-social-post-data-scientist-big-mistakes.png?width=346&height=181&name=cf-infographic-social-post-data-scientist-big-mistakes.png)
Your in-house data scientists shouldn't be doing tedious data labeling work for machine learning projects. They should be focusing on more important innovation.
![5 Qualities in Good Data Labeling Vendors [Infographic]](https://www.cloudfactory.com/hs-fs/hubfs/04-blog-img/cf-infographic-social-post-5-qualities.png?width=346&height=181&name=cf-infographic-social-post-5-qualities.png)
Not all outsourced data labeling partners are a good fit for every AI project. Here are 5 things you need to consider before, during, and after vendor evaluations.

CloudFactory responds to the COVID-19 pandemic with remote access for workers, business continuity for clients, and community service.
-2.png?width=346&height=181&name=Blog%20Social%20Graphics%20(Resizing)-2.png)
No matter how robust your initial training may be, keeping your machine learning models up-to-date is essential. Here are two retraining approaches.
![In-House vs. Managed Workforce Data Labeling Partner [Infographic]](https://www.cloudfactory.com/hs-fs/hubfs/04-blog-img/cf-infographic-social-post-inhouse-vs-managed-workforce.png?width=346&height=181&name=cf-infographic-social-post-inhouse-vs-managed-workforce.png)
It takes a lot of time and resources to prepare and label data. Learn why outsourcing the data preparation to a managed workforce partner is a good business decision.
![6 Ways Data Labeling Providers Put Your Data Quality At Risk [Infographic]](https://www.cloudfactory.com/hs-fs/hubfs/04-blog-img/cf-infographic-social-post-6-ways.png?width=346&height=181&name=cf-infographic-social-post-6-ways.png)
The level of data quality you'll receive from data labeling providers depends on several workforce, QA and tooling factors. Here are 6 ways some data labeling providers put your ...
![3 Signs Data Labeling Provider Delivers Quality Data [Infographic]](https://www.cloudfactory.com/hs-fs/hubfs/04-blog-img/cf-infographic-social-post-3_signs.png?width=346&height=181&name=cf-infographic-social-post-3_signs.png)
The people, processes, and tools used by outsourced data labeling partners make a big difference in final data quality. Here are 3 signs that you'll receive quality work from your ...

CloudFactory will never ask for sensitive personal information or payment as part of the employment process.

Achieving a high level of accuracy in data labeling is vital. This concept can be understood if we think about a mural of Rubik’s Cubes®.
-Nov-23-2020-09-36-48-89-PM.png?width=346&height=181&name=Image%20Resizing%20for%20Blog%20and%20Social%20(10)-Nov-23-2020-09-36-48-89-PM.png)
Any problem (like a Rubik’s cube®) is solvable with a documented process.
-Nov-23-2020-09-35-47-53-PM.png?width=346&height=181&name=Image%20Resizing%20for%20Blog%20and%20Social%20(9)-Nov-23-2020-09-35-47-53-PM.png)
How solving a Rubik’s cube® is like labeling your unstructured data.