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.

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.

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 ...

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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®.

Any problem (like a Rubik’s cube®) is solvable with a documented process.

How solving a Rubik’s cube® is like labeling your unstructured data.