CloudFactory Blog

Agriculture data is complex. Annotating agtech data often requires help from agronomists. We help Hummingbird Tech overcome that AI product development hurdle.

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

Whether you’re a seasoned pro or new to artificial intelligence, continued learning important. Here are a few of our favorite machine learning & AI books.

Images and videos are both means to an end to annotate visual data. Each may have its own unique process but in the end individual frames are being annotated on a meta data level. ...

Image annotation holds great promise for industries that rely heavily on visual data. Here are 3 of the biggest opportunities for image annotation.

CloudFactory and V7 Labs annotated chest x-rays data sets and trained ML models to identify health issues for COVID-19 research.

Some organizations are winning in a pandemic by adapting to changing customer and market demands. We’ve provided adaptive workforces for a decade. Here’s what they look like.

Keep these 6 important features of data annotation tools in mind to find the right fit for your AI and machine learning project.

Supervised learning requires a lot of labeled data. Here’s what it takes to design a high-performance data labeling pipeline for machine learning.

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.

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.

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.

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.

Many companies are having to contend with new data security concerns associated with their employees accessing important data from home.

It is not enough for workforce vendors to tout a history of quality and speed. They must prove they can serve your needs during and after COVID-19.

No matter how robust your initial training may be, keeping your machine learning models up-to-date is essential. Here are two retraining approaches.